Overview

Brought to you by YData

Dataset statistics

Number of variables	60
Number of observations	125
Missing cells	53
Missing cells (%)	0.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	58.7 KiB
Average record size in memory	481.1 B

Variable types

Numeric	10
Categorical	38
Text	12

Alerts

`eating_changes_coded` is highly overall correlated with `eating_changes_coded1`	High correlation
`eating_changes_coded1` is highly overall correlated with `eating_changes_coded`	High correlation
`employment` is highly overall correlated with `weight`	High correlation
`healthy_feeling` is highly overall correlated with `life_rewarding`	High correlation
`indian_food` is highly overall correlated with `persian_food` and 1 other fields	High correlation
`life_rewarding` is highly overall correlated with `healthy_feeling`	High correlation
`persian_food` is highly overall correlated with `indian_food`	High correlation
`thai_food` is highly overall correlated with `indian_food`	High correlation
`weight` is highly overall correlated with `employment`	High correlation
`fries` is highly imbalanced (57.0%)	Imbalance
`comfort_food_reasons` has 2 (1.6%) missing values	Missing
`cook` has 3 (2.4%) missing values	Missing
`drink` has 2 (1.6%) missing values	Missing
`eating_changes` has 3 (2.4%) missing values	Missing
`employment` has 9 (7.2%) missing values	Missing
`father_profession` has 3 (2.4%) missing values	Missing
`fav_cuisine` has 2 (1.6%) missing values	Missing
`fav_food` has 2 (1.6%) missing values	Missing
`meals_dinner_friend` has 3 (2.4%) missing values	Missing
`mother_education` has 3 (2.4%) missing values	Missing
`mother_profession` has 2 (1.6%) missing values	Missing
`sports` has 2 (1.6%) missing values	Missing
`weight` has 2 (1.6%) missing values	Missing
`fav_cuisine_coded` has 6 (4.8%) zeros	Zeros

Reproduction

Analysis started	2025-04-12 17:06:06.732705
Analysis finished	2025-04-12 17:06:18.954455
Duration	12.22 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

GPA
Real number (ℝ)

Distinct	37
Distinct (%)	29.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4186529

Minimum	2.2
Maximum	4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	2.2
5-th percentile	2.8
Q1	3.2
median	3.5
Q3	3.7
95-th percentile	3.9
Maximum	4
Range	1.8
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.38365649
Coefficient of variation (CV)	0.11222446
Kurtosis	0.43658389
Mean	3.4186529
Median Absolute Deviation (MAD)	0.27
Skewness	-0.77246485
Sum	427.33161
Variance	0.1471923
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
3.5	13	10.4%
3	11	8.8%
3.2	10	8.0%
3.7	10	8.0%
3.3	9	7.2%
3.4	9	7.2%
3.9	7	5.6%
3.6	7	5.6%
3.8	6	4.8%
2.8	5	4.0%
Other values (27)	38	30.4%

Value	Count	Frequency (%)
2.2	1	0.8%
2.25	1	0.8%
2.4	1	0.8%
2.6	2	1.6%
2.71	1	0.8%
2.8	5	4.0%
2.9	2	1.6%
3	11	8.8%
3.1	3	2.4%
3.2	10	8.0%

Value	Count	Frequency (%)
4	4	3.2%
3.92	1	0.8%
3.904	1	0.8%
3.9	7	5.6%
3.89	1	0.8%
3.882	1	0.8%
3.87	1	0.8%
3.83	2	1.6%
3.8	6	4.8%
3.79	1	0.8%

Gender
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	76
2	49

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	76	60.8%
2	49	39.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	76	60.8%
2	49	39.2%

Most occurring characters

Value	Count	Frequency (%)
1	76	60.8%
2	49	39.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	76	60.8%
2	49	39.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	76	60.8%
2	49	39.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	76	60.8%
2	49	39.2%

breakfast
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	111
2	14

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	111	88.8%
2	14	11.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	111	88.8%
2	14	11.2%

Most occurring characters

Value	Count	Frequency (%)
1	111	88.8%
2	14	11.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	111	88.8%
2	14	11.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	111	88.8%
2	14	11.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	111	88.8%
2	14	11.2%

calories_chicken
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

610	59
720	32
430	25
265	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	375
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	430
2nd row	610
3rd row	720
4th row	430
5th row	720

Common Values

Value	Count	Frequency (%)
610	59	47.2%
720	32	25.6%
430	25	20.0%
265	9	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
610	59	47.2%
720	32	25.6%
430	25	20.0%
265	9	7.2%

Most occurring characters

Value	Count	Frequency (%)
0	116	30.9%
6	68	18.1%
1	59	15.7%
2	41	10.9%
7	32	8.5%
4	25	6.7%
3	25	6.7%
5	9	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	116	30.9%
6	68	18.1%
1	59	15.7%
2	41	10.9%
7	32	8.5%
4	25	6.7%
3	25	6.7%
5	9	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	116	30.9%
6	68	18.1%
1	59	15.7%
2	41	10.9%
7	32	8.5%
4	25	6.7%
3	25	6.7%
5	9	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	116	30.9%
6	68	18.1%
1	59	15.7%
2	41	10.9%
7	32	8.5%
4	25	6.7%
3	25	6.7%
5	9	2.4%

calories_day
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

3.0	63
4.0	23
2.0	20
0.0	19

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	375
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	3.0
3rd row	4.0
4th row	3.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
3.0	63	50.4%
4.0	23	18.4%
2.0	20	16.0%
0.0	19	15.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.0	63	50.4%
4.0	23	18.4%
2.0	20	16.0%
0.0	19	15.2%

Most occurring characters

Value	Count	Frequency (%)
0	144	38.4%
.	125	33.3%
3	63	16.8%
4	23	6.1%
2	20	5.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	144	38.4%
.	125	33.3%
3	63	16.8%
4	23	6.1%
2	20	5.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	144	38.4%
.	125	33.3%
3	63	16.8%
4	23	6.1%
2	20	5.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	144	38.4%
.	125	33.3%
3	63	16.8%
4	23	6.1%
2	20	5.3%

calories_scone
Categorical

Distinct	3
Distinct (%)	2.4%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

420.0	79
980.0	23
315.0	22

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	620
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	315.0
2nd row	420.0
3rd row	420.0
4th row	420.0
5th row	420.0

Common Values

Value	Count	Frequency (%)
420.0	79	63.2%
980.0	23	18.4%
315.0	22	17.6%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
420.0	79	63.7%
980.0	23	18.5%
315.0	22	17.7%

Most occurring characters

Value	Count	Frequency (%)
0	226	36.5%
.	124	20.0%
4	79	12.7%
2	79	12.7%
9	23	3.7%
8	23	3.7%
3	22	3.5%
1	22	3.5%
5	22	3.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	620	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	226	36.5%
.	124	20.0%
4	79	12.7%
2	79	12.7%
9	23	3.7%
8	23	3.7%
3	22	3.5%
1	22	3.5%
5	22	3.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	620	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	226	36.5%
.	124	20.0%
4	79	12.7%
2	79	12.7%
9	23	3.7%
8	23	3.7%
3	22	3.5%
1	22	3.5%
5	22	3.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	620	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	226	36.5%
.	124	20.0%
4	79	12.7%
2	79	12.7%
9	23	3.7%
8	23	3.7%
3	22	3.5%
1	22	3.5%
5	22	3.5%

coffee
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2	94
1	31

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	94	75.2%
1	31	24.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	94	75.2%
1	31	24.8%

Most occurring characters

Value	Count	Frequency (%)
2	94	75.2%
1	31	24.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	94	75.2%
1	31	24.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	94	75.2%
1	31	24.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	94	75.2%
1	31	24.8%

comfort_food
Text

Distinct	124
Distinct (%)	100.0%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

Length

Max length	97
Median length	48
Mean length	34.766129
Min length	4

Characters and Unicode

Total characters	4311
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	124 ?
Unique (%)	100.0%

Sample

1st row	none
2nd row	chocolate, chips, ice cream
3rd row	frozen yogurt, pizza, fast food
4th row	Pizza, Mac and cheese, ice cream
5th row	Ice cream, chocolate, chips

Value	Count	Frequency (%)
ice	50	7.9%
cream	47	7.4%
and	40	6.3%
pizza	40	6.3%
chocolate	35	5.5%
chips	34	5.3%
cheese	22	3.5%
cookies	19	3.0%
mac	17	2.7%
chicken	14	2.2%
Other values (169)	318	50.0%

Most occurring characters

Value	Count	Frequency (%)
	552	12.8%
e	441	10.2%
a	354	8.2%
c	344	8.0%
,	260	6.0%
s	247	5.7%
o	245	5.7%
i	240	5.6%
r	177	4.1%
n	166	3.9%
Other values (42)	1285	29.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4311	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	552	12.8%
e	441	10.2%
a	354	8.2%
c	344	8.0%
,	260	6.0%
s	247	5.7%
o	245	5.7%
i	240	5.6%
r	177	4.1%
n	166	3.9%
Other values (42)	1285	29.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4311	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	552	12.8%
e	441	10.2%
a	354	8.2%
c	344	8.0%
,	260	6.0%
s	247	5.7%
o	245	5.7%
i	240	5.6%
r	177	4.1%
n	166	3.9%
Other values (42)	1285	29.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4311	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	552	12.8%
e	441	10.2%
a	354	8.2%
c	344	8.0%
,	260	6.0%
s	247	5.7%
o	245	5.7%
i	240	5.6%
r	177	4.1%
n	166	3.9%
Other values (42)	1285	29.8%

comfort_food_reasons
Text

Missing

Distinct	106
Distinct (%)	86.2%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

Length

Max length	137
Median length	59
Mean length	26.902439
Min length	4

Characters and Unicode

Total characters	3309
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	97 ?
Unique (%)	78.9%

Sample

1st row	we dont have comfort
2nd row	Stress, bored, anger
3rd row	stress, sadness
4th row	Boredom
5th row	Stress, boredom, cravings

Value	Count	Frequency (%)
boredom	74	14.6%
sadness	42	8.3%
stress	33	6.5%
and	26	5.1%
i	19	3.7%
when	12	2.4%
anger	10	2.0%
comfort	10	2.0%
happiness	9	1.8%
bored	9	1.8%
Other values (158)	264	52.0%

Most occurring characters

Value	Count	Frequency (%)
	424	12.8%
s	344	10.4%
e	339	10.2%
o	287	8.7%
r	210	6.3%
d	203	6.1%
a	189	5.7%
n	189	5.7%
t	131	4.0%
m	128	3.9%
Other values (45)	865	26.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3309	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	424	12.8%
s	344	10.4%
e	339	10.2%
o	287	8.7%
r	210	6.3%
d	203	6.1%
a	189	5.7%
n	189	5.7%
t	131	4.0%
m	128	3.9%
Other values (45)	865	26.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3309	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	424	12.8%
s	344	10.4%
e	339	10.2%
o	287	8.7%
r	210	6.3%
d	203	6.1%
a	189	5.7%
n	189	5.7%
t	131	4.0%
m	128	3.9%
Other values (45)	865	26.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3309	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	424	12.8%
s	344	10.4%
e	339	10.2%
o	287	8.7%
r	210	6.3%
d	203	6.1%
a	189	5.7%
n	189	5.7%
t	131	4.0%
m	128	3.9%
Other values (45)	865	26.1%

cook
Categorical

Missing

Distinct	5
Distinct (%)	4.1%
Missing	3
Missing (%)	2.4%
Memory size	1.1 KiB

3.0	49
2.0	34
4.0	18
1.0	13
5.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	366
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	3.0
3rd row	1.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
3.0	49	39.2%
2.0	34	27.2%
4.0	18	14.4%
1.0	13	10.4%
5.0	8	6.4%
(Missing)	3	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.0	49	40.2%
2.0	34	27.9%
4.0	18	14.8%
1.0	13	10.7%
5.0	8	6.6%

Most occurring characters

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
3	49	13.4%
2	34	9.3%
4	18	4.9%
1	13	3.6%
5	8	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	366	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
3	49	13.4%
2	34	9.3%
4	18	4.9%
1	13	3.6%
5	8	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	366	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
3	49	13.4%
2	34	9.3%
4	18	4.9%
1	13	3.6%
5	8	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	366	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
3	49	13.4%
2	34	9.3%
4	18	4.9%
1	13	3.6%
5	8	2.2%

comfort_food_reasons_coded.1
Real number (ℝ)

Distinct	8
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.688

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	7
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.9109869
Coefficient of variation (CV)	0.71093263
Kurtosis	3.4213848
Mean	2.688
Median Absolute Deviation (MAD)	1
Skewness	1.922052
Sum	336
Variance	3.651871
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	53	42.4%
1	28	22.4%
3	23	18.4%
5	7	5.6%
9	5	4.0%
7	5	4.0%
4	3	2.4%
6	1	0.8%

Value	Count	Frequency (%)
1	28	22.4%
2	53	42.4%
3	23	18.4%
4	3	2.4%
5	7	5.6%
6	1	0.8%
7	5	4.0%
9	5	4.0%

Value	Count	Frequency (%)
9	5	4.0%
7	5	4.0%
6	1	0.8%
5	7	5.6%
4	3	2.4%
3	23	18.4%
2	53	42.4%
1	28	22.4%

cuisine
Real number (ℝ)

Distinct	6
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.016

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.827143
Coefficient of variation (CV)	0.90632094
Kurtosis	0.72852936
Mean	2.016
Median Absolute Deviation (MAD)	0
Skewness	1.5641079
Sum	252
Variance	3.3384516
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	86	68.8%
6	19	15.2%
2	13	10.4%
3	3	2.4%
4	3	2.4%
5	1	0.8%

Value	Count	Frequency (%)
1	86	68.8%
2	13	10.4%
3	3	2.4%
4	3	2.4%
5	1	0.8%
6	19	15.2%

Value	Count	Frequency (%)
6	19	15.2%
5	1	0.8%
4	3	2.4%
3	3	2.4%
2	13	10.4%
1	86	68.8%

diet_current
Text

Distinct	124
Distinct (%)	100.0%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

Length

Max length	262
Median length	110.5
Mean length	87.669355
Min length	6

Characters and Unicode

Total characters	10871
Distinct characters	62
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	124 ?
Unique (%)	100.0%

Sample

1st row	eat good and exercise
2nd row	I eat about three times a day with some snacks. I try to eat healthy but it doesn't always work out that- sometimes eat fast food and mainly eat at Laker/ Egan
3rd row	toast and fruit for breakfast, salad for lunch, usually grilled chicken and veggies (or some variation) for dinner
4th row	College diet, cheap and easy foods most nights. Weekends traditionally, cook better homemade meals
5th row	I try to eat healthy but often struggle because of living on campus. I still try to keep the choices I do make balanced with fruits and vegetables and limit the sweats.

Value	Count	Frequency (%)
i	151	7.3%
and	111	5.4%
eat	101	4.9%
a	79	3.8%
of	57	2.8%
to	47	2.3%
healthy	39	1.9%
diet	34	1.6%
vegetables	30	1.5%
try	28	1.4%
Other values (447)	1386	67.2%

Most occurring characters

Value	Count	Frequency (%)
	2007	18.5%
e	992	9.1%
a	920	8.5%
t	830	7.6%
o	609	5.6%
s	536	4.9%
n	492	4.5%
i	488	4.5%
r	441	4.1%
l	437	4.0%
Other values (52)	3119	28.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10871	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2007	18.5%
e	992	9.1%
a	920	8.5%
t	830	7.6%
o	609	5.6%
s	536	4.9%
n	492	4.5%
i	488	4.5%
r	441	4.1%
l	437	4.0%
Other values (52)	3119	28.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10871	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2007	18.5%
e	992	9.1%
a	920	8.5%
t	830	7.6%
o	609	5.6%
s	536	4.9%
n	492	4.5%
i	488	4.5%
r	441	4.1%
l	437	4.0%
Other values (52)	3119	28.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10871	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2007	18.5%
e	992	9.1%
a	920	8.5%
t	830	7.6%
o	609	5.6%
s	536	4.9%
n	492	4.5%
i	488	4.5%
r	441	4.1%
l	437	4.0%
Other values (52)	3119	28.7%

diet_current_coded
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2	60
1	50
3	10
4	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	3
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	60	48.0%
1	50	40.0%
3	10	8.0%
4	5	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	60	48.0%
1	50	40.0%
3	10	8.0%
4	5	4.0%

Most occurring characters

Value	Count	Frequency (%)
2	60	48.0%
1	50	40.0%
3	10	8.0%
4	5	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	60	48.0%
1	50	40.0%
3	10	8.0%
4	5	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	60	48.0%
1	50	40.0%
3	10	8.0%
4	5	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	60	48.0%
1	50	40.0%
3	10	8.0%
4	5	4.0%

drink
Categorical

Missing

Distinct	2
Distinct (%)	1.6%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

2.0	69
1.0	54

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	369
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	69	55.2%
1.0	54	43.2%
(Missing)	2	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	69	56.1%
1.0	54	43.9%

Most occurring characters

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
2	69	18.7%
1	54	14.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
2	69	18.7%
1	54	14.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
2	69	18.7%
1	54	14.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
2	69	18.7%
1	54	14.6%

eating_changes
Text

Missing

Distinct	121
Distinct (%)	99.2%
Missing	3
Missing (%)	2.4%
Memory size	1.1 KiB

Length

Max length	318
Median length	85
Mean length	58.434426
Min length	4

Characters and Unicode

Total characters	7129
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	120 ?
Unique (%)	98.4%

Sample

1st row	eat faster
2nd row	I eat out more than usual.
3rd row	sometimes choosing to eat fast food instead of cooking simply for convenience
4th row	Accepting cheap and premade/store bought foods
5th row	I have eaten generally the same foods but I do find myself eating the same food frequently due to what I have found I like from egan and the laker.

Value	Count	Frequency (%)
i	122	8.7%
eat	58	4.1%
more	58	4.1%
to	46	3.3%
and	43	3.1%
have	33	2.4%
a	30	2.1%
food	26	1.9%
less	25	1.8%
the	24	1.7%
Other values (362)	939	66.9%

Most occurring characters

Value	Count	Frequency (%)
	1331	18.7%
e	771	10.8%
a	571	8.0%
o	490	6.9%
t	488	6.8%
n	354	5.0%
s	332	4.7%
i	282	4.0%
l	257	3.6%
r	249	3.5%
Other values (42)	2004	28.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7129	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1331	18.7%
e	771	10.8%
a	571	8.0%
o	490	6.9%
t	488	6.8%
n	354	5.0%
s	332	4.7%
i	282	4.0%
l	257	3.6%
r	249	3.5%
Other values (42)	2004	28.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7129	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1331	18.7%
e	771	10.8%
a	571	8.0%
o	490	6.9%
t	488	6.8%
n	354	5.0%
s	332	4.7%
i	282	4.0%
l	257	3.6%
r	249	3.5%
Other values (42)	2004	28.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7129	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1331	18.7%
e	771	10.8%
a	571	8.0%
o	490	6.9%
t	488	6.8%
n	354	5.0%
s	332	4.7%
i	282	4.0%
l	257	3.6%
r	249	3.5%
Other values (42)	2004	28.1%

eating_changes_coded
Categorical

High correlation

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	75
2	36
3	11
4	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	3

Common Values

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	11	8.8%
4	3	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	11	8.8%
4	3	2.4%

Most occurring characters

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	11	8.8%
4	3	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	11	8.8%
4	3	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	11	8.8%
4	3	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	11	8.8%
4	3	2.4%

eating_changes_coded1
Real number (ℝ)

High correlation

Distinct	13
Distinct (%)	10.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.552

Minimum	1
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	4
Q3	5
95-th percentile	11
Maximum	13
Range	12
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.5477884
Coefficient of variation (CV)	0.55970747
Kurtosis	1.9073443
Mean	4.552
Median Absolute Deviation (MAD)	1
Skewness	1.554581
Sum	569
Variance	6.4912258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
3	44	35.2%
5	32	25.6%
2	15	12.0%
4	12	9.6%
8	5	4.0%
11	5	4.0%
7	3	2.4%
10	3	2.4%
12	2	1.6%
1	1	0.8%
Other values (3)	3	2.4%

Value	Count	Frequency (%)
1	1	0.8%
2	15	12.0%
3	44	35.2%
4	12	9.6%
5	32	25.6%
6	1	0.8%
7	3	2.4%
8	5	4.0%
9	1	0.8%
10	3	2.4%

Value	Count	Frequency (%)
13	1	0.8%
12	2	1.6%
11	5	4.0%
10	3	2.4%
9	1	0.8%
8	5	4.0%
7	3	2.4%
6	1	0.8%
5	32	25.6%
4	12	9.6%

eating_out
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2	60
3	24
1	16
4	13
5	12

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	60	48.0%
3	24	19.2%
1	16	12.8%
4	13	10.4%
5	12	9.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	60	48.0%
3	24	19.2%
1	16	12.8%
4	13	10.4%
5	12	9.6%

Most occurring characters

Value	Count	Frequency (%)
2	60	48.0%
3	24	19.2%
1	16	12.8%
4	13	10.4%
5	12	9.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	60	48.0%
3	24	19.2%
1	16	12.8%
4	13	10.4%
5	12	9.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	60	48.0%
3	24	19.2%
1	16	12.8%
4	13	10.4%
5	12	9.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	60	48.0%
3	24	19.2%
1	16	12.8%
4	13	10.4%
5	12	9.6%

employment
Categorical

High correlation Missing

Distinct	3
Distinct (%)	2.6%
Missing	9
Missing (%)	7.2%
Memory size	1.1 KiB

2.0	60
3.0	54
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	348
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	2.0
3rd row	3.0
4th row	3.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	60	48.0%
3.0	54	43.2%
1.0	2	1.6%
(Missing)	9	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	60	51.7%
3.0	54	46.6%
1.0	2	1.7%

Most occurring characters

Value	Count	Frequency (%)
.	116	33.3%
0	116	33.3%
2	60	17.2%
3	54	15.5%
1	2	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	348	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	116	33.3%
0	116	33.3%
2	60	17.2%
3	54	15.5%
1	2	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	348	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	116	33.3%
0	116	33.3%
2	60	17.2%
3	54	15.5%
1	2	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	348	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	116	33.3%
0	116	33.3%
2	60	17.2%
3	54	15.5%
1	2	0.6%

ethnic_food
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	42
4	36
3	25
2	17
1	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	4
3rd row	5
4th row	5
5th row	4

Common Values

Value	Count	Frequency (%)
5	42	33.6%
4	36	28.8%
3	25	20.0%
2	17	13.6%
1	5	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	42	33.6%
4	36	28.8%
3	25	20.0%
2	17	13.6%
1	5	4.0%

Most occurring characters

Value	Count	Frequency (%)
5	42	33.6%
4	36	28.8%
3	25	20.0%
2	17	13.6%
1	5	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	42	33.6%
4	36	28.8%
3	25	20.0%
2	17	13.6%
1	5	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	42	33.6%
4	36	28.8%
3	25	20.0%
2	17	13.6%
1	5	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	42	33.6%
4	36	28.8%
3	25	20.0%
2	17	13.6%
1	5	4.0%

exercise
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	57
2.0	44
0.0	13
3.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	375
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	3.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	57	45.6%
2.0	44	35.2%
0.0	13	10.4%
3.0	11	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	57	45.6%
2.0	44	35.2%
0.0	13	10.4%
3.0	11	8.8%

Most occurring characters

Value	Count	Frequency (%)
0	138	36.8%
.	125	33.3%
1	57	15.2%
2	44	11.7%
3	11	2.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	138	36.8%
.	125	33.3%
1	57	15.2%
2	44	11.7%
3	11	2.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	138	36.8%
.	125	33.3%
1	57	15.2%
2	44	11.7%
3	11	2.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	138	36.8%
.	125	33.3%
1	57	15.2%
2	44	11.7%
3	11	2.9%

father_education
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

4.0	46
2.0	34
5.0	28
3.0	12
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	372
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
4.0	46	36.8%
2.0	34	27.2%
5.0	28	22.4%
3.0	12	9.6%
1.0	4	3.2%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.0	46	37.1%
2.0	34	27.4%
5.0	28	22.6%
3.0	12	9.7%
1.0	4	3.2%

Most occurring characters

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
4	46	12.4%
2	34	9.1%
5	28	7.5%
3	12	3.2%
1	4	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
4	46	12.4%
2	34	9.1%
5	28	7.5%
3	12	3.2%
1	4	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
4	46	12.4%
2	34	9.1%
5	28	7.5%
3	12	3.2%
1	4	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
4	46	12.4%
2	34	9.1%
5	28	7.5%
3	12	3.2%
1	4	1.1%

father_profession
Text

Missing

Distinct	114
Distinct (%)	93.4%
Missing	3
Missing (%)	2.4%
Memory size	1.1 KiB

Length

Max length	33
Median length	23.5
Mean length	14.213115
Min length	2

Characters and Unicode

Total characters	1734
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	106 ?
Unique (%)	86.9%

Sample

1st row	profesor
2nd row	Self employed
3rd row	owns business
4th row	Mechanic
5th row	IT

Value	Count	Frequency (%)
business	11	4.6%
manager	8	3.3%
of	7	2.9%
owner	7	2.9%
engineer	7	2.9%
driver	5	2.1%
company	4	1.7%
construction	4	1.7%
salesman	4	1.7%
retired	3	1.2%
Other values (144)	180	75.0%

Most occurring characters

Value	Count	Frequency (%)
e	180	10.4%
	162	9.3%
r	132	7.6%
n	132	7.6%
i	127	7.3%
a	123	7.1%
o	107	6.2%
s	100	5.8%
t	82	4.7%
c	79	4.6%
Other values (39)	510	29.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1734	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	180	10.4%
	162	9.3%
r	132	7.6%
n	132	7.6%
i	127	7.3%
a	123	7.1%
o	107	6.2%
s	100	5.8%
t	82	4.7%
c	79	4.6%
Other values (39)	510	29.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1734	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	180	10.4%
	162	9.3%
r	132	7.6%
n	132	7.6%
i	127	7.3%
a	123	7.1%
o	107	6.2%
s	100	5.8%
t	82	4.7%
c	79	4.6%
Other values (39)	510	29.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1734	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	180	10.4%
	162	9.3%
r	132	7.6%
n	132	7.6%
i	127	7.3%
a	123	7.1%
o	107	6.2%
s	100	5.8%
t	82	4.7%
c	79	4.6%
Other values (39)	510	29.4%

fav_cuisine
Text

Missing

Distinct	60
Distinct (%)	48.8%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

Length

Max length	40
Median length	38
Mean length	9.9918699
Min length	4

Characters and Unicode

Total characters	1229
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	37.4%

Sample

1st row	Arabic cuisine
2nd row	Italian
3rd row	italian
4th row	Turkish
5th row	Italian

Value	Count	Frequency (%)
italian	56	30.8%
mexican	12	6.6%
chinese	11	6.0%
food	10	5.5%
american	10	5.5%
cuisine	7	3.8%
and	5	2.7%
thai	4	2.2%
indian	4	2.2%
or	4	2.2%
Other values (52)	59	32.4%

Most occurring characters

Value	Count	Frequency (%)
a	186	15.1%
i	142	11.6%
n	140	11.4%
	105	8.5%
e	93	7.6%
l	69	5.6%
t	67	5.5%
I	56	4.6%
c	43	3.5%
o	41	3.3%
Other values (41)	287	23.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1229	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	186	15.1%
i	142	11.6%
n	140	11.4%
	105	8.5%
e	93	7.6%
l	69	5.6%
t	67	5.5%
I	56	4.6%
c	43	3.5%
o	41	3.3%
Other values (41)	287	23.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1229	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	186	15.1%
i	142	11.6%
n	140	11.4%
	105	8.5%
e	93	7.6%
l	69	5.6%
t	67	5.5%
I	56	4.6%
c	43	3.5%
o	41	3.3%
Other values (41)	287	23.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1229	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	186	15.1%
i	142	11.6%
n	140	11.4%
	105	8.5%
e	93	7.6%
l	69	5.6%
t	67	5.5%
I	56	4.6%
c	43	3.5%
o	41	3.3%
Other values (41)	287	23.4%

fav_cuisine_coded
Real number (ℝ)

Zeros

Distinct	9
Distinct (%)	7.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.424

Minimum	0
Maximum	8
Zeros	6
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	5
Maximum	8
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.9479683
Coefficient of variation (CV)	0.8036173
Kurtosis	0.28586948
Mean	2.424
Median Absolute Deviation (MAD)	1
Skewness	1.0211239
Sum	303
Variance	3.7945806
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	59	47.2%
4	22	17.6%
5	15	12.0%
2	15	12.0%
0	6	4.8%
8	4	3.2%
3	2	1.6%
6	1	0.8%
7	1	0.8%

Value	Count	Frequency (%)
0	6	4.8%
1	59	47.2%
2	15	12.0%
3	2	1.6%
4	22	17.6%
5	15	12.0%
6	1	0.8%
7	1	0.8%
8	4	3.2%

Value	Count	Frequency (%)
8	4	3.2%
7	1	0.8%
6	1	0.8%
5	15	12.0%
4	22	17.6%
3	2	1.6%
2	15	12.0%
1	59	47.2%
0	6	4.8%

fav_food
Categorical

Missing

Distinct	3
Distinct (%)	2.4%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

1.0	73
3.0	38
2.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	369
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	3.0
4th row	1.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
1.0	73	58.4%
3.0	38	30.4%
2.0	12	9.6%
(Missing)	2	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	73	59.3%
3.0	38	30.9%
2.0	12	9.8%

Most occurring characters

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	73	19.8%
3	38	10.3%
2	12	3.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	73	19.8%
3	38	10.3%
2	12	3.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	73	19.8%
3	38	10.3%
2	12	3.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	73	19.8%
3	38	10.3%
2	12	3.3%

food_childhood
Text

Distinct	114
Distinct (%)	91.9%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

Length

Max length	91
Median length	40
Mean length	25.532258
Min length	5

Characters and Unicode

Total characters	3166
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	107 ?
Unique (%)	86.3%

Sample

1st row	rice and chicken
2nd row	chicken and biscuits, beef soup, baked beans
3rd row	mac and cheese, pizza, tacos
4th row	Beef stroganoff, tacos, pizza
5th row	Pasta, chicken tender, pizza

Value	Count	Frequency (%)
chicken	55	11.7%
and	46	9.8%
pizza	39	8.3%
pasta	23	4.9%
cheese	21	4.5%
spaghetti	18	3.8%
mac	14	3.0%
steak	13	2.8%
potatoes	8	1.7%
nuggets	7	1.5%
Other values (134)	225	48.0%

Most occurring characters

Value	Count	Frequency (%)
	382	12.1%
a	317	10.0%
e	302	9.5%
i	191	6.0%
s	175	5.5%
n	172	5.4%
t	170	5.4%
c	165	5.2%
h	133	4.2%
,	131	4.1%
Other values (43)	1028	32.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3166	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	382	12.1%
a	317	10.0%
e	302	9.5%
i	191	6.0%
s	175	5.5%
n	172	5.4%
t	170	5.4%
c	165	5.2%
h	133	4.2%
,	131	4.1%
Other values (43)	1028	32.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3166	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	382	12.1%
a	317	10.0%
e	302	9.5%
i	191	6.0%
s	175	5.5%
n	172	5.4%
t	170	5.4%
c	165	5.2%
h	133	4.2%
,	131	4.1%
Other values (43)	1028	32.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3166	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	382	12.1%
a	317	10.0%
e	302	9.5%
i	191	6.0%
s	175	5.5%
n	172	5.4%
t	170	5.4%
c	165	5.2%
h	133	4.2%
,	131	4.1%
Other values (43)	1028	32.5%

fries
Categorical

Imbalance

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	114
2	11

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	114	91.2%
2	11	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	114	91.2%
2	11	8.8%

Most occurring characters

Value	Count	Frequency (%)
1	114	91.2%
2	11	8.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	114	91.2%
2	11	8.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	114	91.2%
2	11	8.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	114	91.2%
2	11	8.8%

fruit_day
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	63
4	33
3	24
2	4
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	5
2nd row	4
3rd row	5
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
5	63	50.4%
4	33	26.4%
3	24	19.2%
2	4	3.2%
1	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	63	50.4%
4	33	26.4%
3	24	19.2%
2	4	3.2%
1	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
5	63	50.4%
4	33	26.4%
3	24	19.2%
2	4	3.2%
1	1	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	63	50.4%
4	33	26.4%
3	24	19.2%
2	4	3.2%
1	1	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	63	50.4%
4	33	26.4%
3	24	19.2%
2	4	3.2%
1	1	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	63	50.4%
4	33	26.4%
3	24	19.2%
2	4	3.2%
1	1	0.8%

grade_level
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	37
2	32
4	28
3	28

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	4
3rd row	3
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
1	37	29.6%
2	32	25.6%
4	28	22.4%
3	28	22.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	37	29.6%
2	32	25.6%
4	28	22.4%
3	28	22.4%

Most occurring characters

Value	Count	Frequency (%)
1	37	29.6%
2	32	25.6%
4	28	22.4%
3	28	22.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	37	29.6%
2	32	25.6%
4	28	22.4%
3	28	22.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	37	29.6%
2	32	25.6%
4	28	22.4%
3	28	22.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	37	29.6%
2	32	25.6%
4	28	22.4%
3	28	22.4%

greek_food
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	41
3	32
4	23
1	15
2	14

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	4
3rd row	5
4th row	5
5th row	4

Common Values

Value	Count	Frequency (%)
5	41	32.8%
3	32	25.6%
4	23	18.4%
1	15	12.0%
2	14	11.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	41	32.8%
3	32	25.6%
4	23	18.4%
1	15	12.0%
2	14	11.2%

Most occurring characters

Value	Count	Frequency (%)
5	41	32.8%
3	32	25.6%
4	23	18.4%
1	15	12.0%
2	14	11.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	41	32.8%
3	32	25.6%
4	23	18.4%
1	15	12.0%
2	14	11.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	41	32.8%
3	32	25.6%
4	23	18.4%
1	15	12.0%
2	14	11.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	41	32.8%
3	32	25.6%
4	23	18.4%
1	15	12.0%
2	14	11.2%

healthy_feeling
Real number (ℝ)

High correlation

Distinct	10
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.456

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	8
95-th percentile	9
Maximum	10
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.5856427
Coefficient of variation (CV)	0.47390813
Kurtosis	-1.1235065
Mean	5.456
Median Absolute Deviation (MAD)	2
Skewness	-0.058284658
Sum	682
Variance	6.6855484
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	17	13.6%
7	16	12.8%
5	15	12.0%
3	15	12.0%
4	13	10.4%
2	12	9.6%
6	12	9.6%
9	12	9.6%
1	8	6.4%
10	5	4.0%

Value	Count	Frequency (%)
1	8	6.4%
2	12	9.6%
3	15	12.0%
4	13	10.4%
5	15	12.0%
6	12	9.6%
7	16	12.8%
8	17	13.6%
9	12	9.6%
10	5	4.0%

Value	Count	Frequency (%)
10	5	4.0%
9	12	9.6%
8	17	13.6%
7	16	12.8%
6	12	9.6%
5	15	12.0%
4	13	10.4%
3	15	12.0%
2	12	9.6%
1	8	6.4%

healthy_meal
Text

Distinct	124
Distinct (%)	100.0%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

Length

Max length	150
Median length	71
Mean length	49.967742
Min length	5

Characters and Unicode

Total characters	6196
Distinct characters	60
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	124 ?
Unique (%)	100.0%

Sample

1st row	looks not oily
2nd row	Grains, Veggies, (more of grains and veggies), small protein and fruit with dairy
3rd row	usually includes natural ingredients; nonprocessed food
4th row	Fresh fruits& vegetables, organic meats
5th row	A lean protein such as grilled chicken, green vegetables and brown rice or other whole grain

Value	Count	Frequency (%)
and	87	8.2%
a	71	6.7%
of	60	5.7%
protein	39	3.7%
vegetables	34	3.2%
meat	26	2.5%
with	26	2.5%
veggies	24	2.3%
chicken	20	1.9%
fruits	19	1.8%
Other values (247)	651	61.6%

Most occurring characters

Value	Count	Frequency (%)
	980	15.8%
e	613	9.9%
a	489	7.9%
t	395	6.4%
o	384	6.2%
r	328	5.3%
i	325	5.2%
s	315	5.1%
n	310	5.0%
l	248	4.0%
Other values (50)	1809	29.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6196	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	980	15.8%
e	613	9.9%
a	489	7.9%
t	395	6.4%
o	384	6.2%
r	328	5.3%
i	325	5.2%
s	315	5.1%
n	310	5.0%
l	248	4.0%
Other values (50)	1809	29.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6196	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	980	15.8%
e	613	9.9%
a	489	7.9%
t	395	6.4%
o	384	6.2%
r	328	5.3%
i	325	5.2%
s	315	5.1%
n	310	5.0%
l	248	4.0%
Other values (50)	1809	29.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6196	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	980	15.8%
e	613	9.9%
a	489	7.9%
t	395	6.4%
o	384	6.2%
r	328	5.3%
i	325	5.2%
s	315	5.1%
n	310	5.0%
l	248	4.0%
Other values (50)	1809	29.2%

ideal_diet
Text

Distinct	124
Distinct (%)	100.0%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

Length

Max length	290
Median length	108
Mean length	77.895161
Min length	8

Characters and Unicode

Total characters	9659
Distinct characters	59
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	124 ?
Unique (%)	100.0%

Sample

1st row	being healthy
2nd row	Try to eat 5-6 small meals a day. While trying to properly distribute carbs, protein, fruits, veggies, and dairy.
3rd row	i would say my ideal diet is my current diet
4th row	Healthy, fresh veggies/fruits & organic foods
5th row	Ideally I would like to be able to eat healthier foods in order to loose weight.

Value	Count	Frequency (%)
and	90	5.0%
i	75	4.2%
to	72	4.0%
diet	56	3.1%
would	54	3.0%
my	50	2.8%
a	44	2.5%
eat	39	2.2%
of	37	2.1%
more	34	1.9%
Other values (429)	1240	69.2%

Most occurring characters

Value	Count	Frequency (%)
	1738	18.0%
e	922	9.5%
t	716	7.4%
a	678	7.0%
o	660	6.8%
i	462	4.8%
s	451	4.7%
l	437	4.5%
n	419	4.3%
d	406	4.2%
Other values (49)	2770	28.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9659	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1738	18.0%
e	922	9.5%
t	716	7.4%
a	678	7.0%
o	660	6.8%
i	462	4.8%
s	451	4.7%
l	437	4.5%
n	419	4.3%
d	406	4.2%
Other values (49)	2770	28.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9659	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1738	18.0%
e	922	9.5%
t	716	7.4%
a	678	7.0%
o	660	6.8%
i	462	4.8%
s	451	4.7%
l	437	4.5%
n	419	4.3%
d	406	4.2%
Other values (49)	2770	28.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9659	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1738	18.0%
e	922	9.5%
t	716	7.4%
a	678	7.0%
o	660	6.8%
i	462	4.8%
s	451	4.7%
l	437	4.5%
n	419	4.3%
d	406	4.2%
Other values (49)	2770	28.7%

ideal_diet_coded
Real number (ℝ)

Distinct	8
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.704

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	6
95-th percentile	7
Maximum	8
Range	7
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.0869178
Coefficient of variation (CV)	0.56342273
Kurtosis	-1.1654073
Mean	3.704
Median Absolute Deviation (MAD)	1
Skewness	0.50478161
Sum	463
Variance	4.3552258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	44	35.2%
3	17	13.6%
7	16	12.8%
5	15	12.0%
6	13	10.4%
1	11	8.8%
4	6	4.8%
8	3	2.4%

Value	Count	Frequency (%)
1	11	8.8%
2	44	35.2%
3	17	13.6%
4	6	4.8%
5	15	12.0%
6	13	10.4%
7	16	12.8%
8	3	2.4%

Value	Count	Frequency (%)
8	3	2.4%
7	16	12.8%
6	13	10.4%
5	15	12.0%
4	6	4.8%
3	17	13.6%
2	44	35.2%
1	11	8.8%

income
Real number (ℝ)

Distinct	6
Distinct (%)	4.8%
Missing	1
Missing (%)	0.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.5322581

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	5
Q3	6
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.4563318
Coefficient of variation (CV)	0.32132587
Kurtosis	-0.21082518
Mean	4.5322581
Median Absolute Deviation (MAD)	1
Skewness	-0.82734211
Sum	562
Variance	2.1209022
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
6	41	32.8%
5	33	26.4%
4	20	16.0%
3	17	13.6%
2	7	5.6%
1	6	4.8%
(Missing)	1	0.8%

Value	Count	Frequency (%)
1	6	4.8%
2	7	5.6%
3	17	13.6%
4	20	16.0%
5	33	26.4%
6	41	32.8%

Value	Count	Frequency (%)
6	41	32.8%
5	33	26.4%
4	20	16.0%
3	17	13.6%
2	7	5.6%
1	6	4.8%

indian_food
Categorical

High correlation

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	36
3	31
1	25
2	18
4	15

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	4
3rd row	5
4th row	5
5th row	2

Common Values

Value	Count	Frequency (%)
5	36	28.8%
3	31	24.8%
1	25	20.0%
2	18	14.4%
4	15	12.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	36	28.8%
3	31	24.8%
1	25	20.0%
2	18	14.4%
4	15	12.0%

Most occurring characters

Value	Count	Frequency (%)
5	36	28.8%
3	31	24.8%
1	25	20.0%
2	18	14.4%
4	15	12.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	36	28.8%
3	31	24.8%
1	25	20.0%
2	18	14.4%
4	15	12.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	36	28.8%
3	31	24.8%
1	25	20.0%
2	18	14.4%
4	15	12.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	36	28.8%
3	31	24.8%
1	25	20.0%
2	18	14.4%
4	15	12.0%

italian_food
Categorical

Distinct	3
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	100
4	16
3	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	4
3rd row	5
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
5	100	80.0%
4	16	12.8%
3	9	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	100	80.0%
4	16	12.8%
3	9	7.2%

Most occurring characters

Value	Count	Frequency (%)
5	100	80.0%
4	16	12.8%
3	9	7.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	100	80.0%
4	16	12.8%
3	9	7.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	100	80.0%
4	16	12.8%
3	9	7.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	100	80.0%
4	16	12.8%
3	9	7.2%

life_rewarding
Real number (ℝ)

High correlation

Distinct	10
Distinct (%)	8.1%
Missing	1
Missing (%)	0.8%
Infinite	0
Infinite (%)	0.0%
Mean	5.1048387

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	5
Q3	8
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.1203985
Coefficient of variation (CV)	0.6112629
Kurtosis	-1.4751391
Mean	5.1048387
Median Absolute Deviation (MAD)	3
Skewness	0.062603108
Sum	633
Variance	9.736887
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	23	18.4%
8	18	14.4%
3	15	12.0%
7	14	11.2%
2	13	10.4%
9	11	8.8%
10	10	8.0%
5	10	8.0%
4	6	4.8%
6	4	3.2%
(Missing)	1	0.8%

Value	Count	Frequency (%)
1	23	18.4%
2	13	10.4%
3	15	12.0%
4	6	4.8%
5	10	8.0%
6	4	3.2%
7	14	11.2%
8	18	14.4%
9	11	8.8%
10	10	8.0%

Value	Count	Frequency (%)
10	10	8.0%
9	11	8.8%
8	18	14.4%
7	14	11.2%
6	4	3.2%
5	10	8.0%
4	6	4.8%
3	15	12.0%
2	13	10.4%
1	23	18.4%

marital_status
Categorical

Distinct	3
Distinct (%)	2.4%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

1.0	64
2.0	59
4.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	372
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	1.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	64	51.2%
2.0	59	47.2%
4.0	1	0.8%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	64	51.6%
2.0	59	47.6%
4.0	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	64	17.2%
2	59	15.9%
4	1	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	64	17.2%
2	59	15.9%
4	1	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	64	17.2%
2	59	15.9%
4	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	64	17.2%
2	59	15.9%
4	1	0.3%

meals_dinner_friend
Text

Missing

Distinct	121
Distinct (%)	99.2%
Missing	3
Missing (%)	2.4%
Memory size	1.1 KiB

Length

Max length	145
Median length	52
Mean length	33.606557
Min length	12

Characters and Unicode

Total characters	4100
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	120 ?
Unique (%)	98.4%

Sample

1st row	rice, chicken, soup
2nd row	Pasta, steak, chicken
3rd row	chicken and rice with veggies, pasta, some kind of healthy recipe
4th row	Grilled chicken Stuffed Shells Homemade Chili
5th row	Chicken Parmesan, Pulled Pork, Spaghetti and meatballs

Value	Count	Frequency (%)
chicken	80	13.1%
pasta	56	9.2%
and	39	6.4%
steak	39	6.4%
pizza	29	4.7%
rice	21	3.4%
spaghetti	18	2.9%
soup	8	1.3%
tacos	8	1.3%
with	7	1.1%
Other values (180)	306	50.1%

Most occurring characters

Value	Count	Frequency (%)
	533	13.0%
a	430	10.5%
e	360	8.8%
i	256	6.2%
t	233	5.7%
s	223	5.4%
,	218	5.3%
c	201	4.9%
n	197	4.8%
h	161	3.9%
Other values (44)	1288	31.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4100	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	533	13.0%
a	430	10.5%
e	360	8.8%
i	256	6.2%
t	233	5.7%
s	223	5.4%
,	218	5.3%
c	201	4.9%
n	197	4.8%
h	161	3.9%
Other values (44)	1288	31.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4100	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	533	13.0%
a	430	10.5%
e	360	8.8%
i	256	6.2%
t	233	5.7%
s	223	5.4%
,	218	5.3%
c	201	4.9%
n	197	4.8%
h	161	3.9%
Other values (44)	1288	31.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4100	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	533	13.0%
a	430	10.5%
e	360	8.8%
i	256	6.2%
t	233	5.7%
s	223	5.4%
,	218	5.3%
c	201	4.9%
n	197	4.8%
h	161	3.9%
Other values (44)	1288	31.4%

mother_education
Categorical

Missing

Distinct	5
Distinct (%)	4.1%
Missing	3
Missing (%)	2.4%
Memory size	1.1 KiB

4.0	46
2.0	30
5.0	23
3.0	18
1.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	366
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	4.0
3rd row	2.0
4th row	4.0
5th row	5.0

Common Values

Value	Count	Frequency (%)
4.0	46	36.8%
2.0	30	24.0%
5.0	23	18.4%
3.0	18	14.4%
1.0	5	4.0%
(Missing)	3	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.0	46	37.7%
2.0	30	24.6%
5.0	23	18.9%
3.0	18	14.8%
1.0	5	4.1%

Most occurring characters

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
4	46	12.6%
2	30	8.2%
5	23	6.3%
3	18	4.9%
1	5	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	366	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
4	46	12.6%
2	30	8.2%
5	23	6.3%
3	18	4.9%
1	5	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	366	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
4	46	12.6%
2	30	8.2%
5	23	6.3%
3	18	4.9%
1	5	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	366	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
4	46	12.6%
2	30	8.2%
5	23	6.3%
3	18	4.9%
1	5	1.4%

mother_profession
Text

Missing

Distinct	112
Distinct (%)	91.1%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

Length

Max length	48
Median length	31
Mean length	14.813008
Min length	2

Characters and Unicode

Total characters	1822
Distinct characters	48
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	103 ?
Unique (%)	83.7%

Sample

1st row	unemployed
2nd row	Nurse RN
3rd row	owns business
4th row	Special Education Teacher
5th row	Substance Abuse Conselor

Value	Count	Frequency (%)
teacher	14	5.6%
secretary	7	2.8%
business	6	2.4%
nurse	5	2.0%
school	5	2.0%
unemployed	4	1.6%
home	4	1.6%
accountant	4	1.6%
in	4	1.6%
coordinator	3	1.2%
Other values (151)	192	77.4%

Most occurring characters

Value	Count	Frequency (%)
e	209	11.5%
	156	8.6%
r	154	8.5%
a	150	8.2%
t	115	6.3%
o	106	5.8%
i	106	5.8%
n	94	5.2%
s	93	5.1%
c	86	4.7%
Other values (38)	553	30.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1822	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	209	11.5%
	156	8.6%
r	154	8.5%
a	150	8.2%
t	115	6.3%
o	106	5.8%
i	106	5.8%
n	94	5.2%
s	93	5.1%
c	86	4.7%
Other values (38)	553	30.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1822	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	209	11.5%
	156	8.6%
r	154	8.5%
a	150	8.2%
t	115	6.3%
o	106	5.8%
i	106	5.8%
n	94	5.2%
s	93	5.1%
c	86	4.7%
Other values (38)	553	30.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1822	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	209	11.5%
	156	8.6%
r	154	8.5%
a	150	8.2%
t	115	6.3%
o	106	5.8%
i	106	5.8%
n	94	5.2%
s	93	5.1%
c	86	4.7%
Other values (38)	553	30.4%

nutritional_check
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

4	43
2	36
3	20
5	16
1	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	4
3rd row	4
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
4	43	34.4%
2	36	28.8%
3	20	16.0%
5	16	12.8%
1	10	8.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4	43	34.4%
2	36	28.8%
3	20	16.0%
5	16	12.8%
1	10	8.0%

Most occurring characters

Value	Count	Frequency (%)
4	43	34.4%
2	36	28.8%
3	20	16.0%
5	16	12.8%
1	10	8.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
4	43	34.4%
2	36	28.8%
3	20	16.0%
5	16	12.8%
1	10	8.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
4	43	34.4%
2	36	28.8%
3	20	16.0%
5	16	12.8%
1	10	8.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
4	43	34.4%
2	36	28.8%
3	20	16.0%
5	16	12.8%
1	10	8.0%

on_off_campus
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

1.0	97
2.0	16
3.0	9
4.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	372
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	97	77.6%
2.0	16	12.8%
3.0	9	7.2%
4.0	2	1.6%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	97	78.2%
2.0	16	12.9%
3.0	9	7.3%
4.0	2	1.6%

Most occurring characters

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	16	4.3%
3	9	2.4%
4	2	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	16	4.3%
3	9	2.4%
4	2	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	16	4.3%
3	9	2.4%
4	2	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	16	4.3%
3	9	2.4%
4	2	0.5%

parents_cook
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	75
2	36
3	13
5	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	13	10.4%
5	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	13	10.4%
5	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	13	10.4%
5	1	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	13	10.4%
5	1	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	13	10.4%
5	1	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	13	10.4%
5	1	0.8%

pay_meal_out
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

3	67
4	22
2	17
5	11
6	8

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	4
3rd row	3
4th row	2
5th row	4

Common Values

Value	Count	Frequency (%)
3	67	53.6%
4	22	17.6%
2	17	13.6%
5	11	8.8%
6	8	6.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	67	53.6%
4	22	17.6%
2	17	13.6%
5	11	8.8%
6	8	6.4%

Most occurring characters

Value	Count	Frequency (%)
3	67	53.6%
4	22	17.6%
2	17	13.6%
5	11	8.8%
6	8	6.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	67	53.6%
4	22	17.6%
2	17	13.6%
5	11	8.8%
6	8	6.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	67	53.6%
4	22	17.6%
2	17	13.6%
5	11	8.8%
6	8	6.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	67	53.6%
4	22	17.6%
2	17	13.6%
5	11	8.8%
6	8	6.4%

persian_food
Categorical

High correlation

Distinct	5
Distinct (%)	4.0%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

1.0	30
3.0	29
2.0	26
5.0	23
4.0	16

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	372
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	4.0
3rd row	5.0
4th row	5.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	30	24.0%
3.0	29	23.2%
2.0	26	20.8%
5.0	23	18.4%
4.0	16	12.8%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	30	24.2%
3.0	29	23.4%
2.0	26	21.0%
5.0	23	18.5%
4.0	16	12.9%

Most occurring characters

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	30	8.1%
3	29	7.8%
2	26	7.0%
5	23	6.2%
4	16	4.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	30	8.1%
3	29	7.8%
2	26	7.0%
5	23	6.2%
4	16	4.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	30	8.1%
3	29	7.8%
2	26	7.0%
5	23	6.2%
4	16	4.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	30	8.1%
3	29	7.8%
2	26	7.0%
5	23	6.2%
4	16	4.3%

self_perception_weight
Real number (ℝ)

Distinct	6
Distinct (%)	4.8%
Missing	1
Missing (%)	0.8%
Infinite	0
Infinite (%)	0.0%
Mean	3.1209677

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.1159796
Coefficient of variation (CV)	0.35757485
Kurtosis	0.2673123
Mean	3.1209677
Median Absolute Deviation (MAD)	1
Skewness	0.47081775
Sum	387
Variance	1.2454104
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	45	36.0%
4	31	24.8%
2	31	24.8%
5	6	4.8%
1	6	4.8%
6	5	4.0%
(Missing)	1	0.8%

Value	Count	Frequency (%)
1	6	4.8%
2	31	24.8%
3	45	36.0%
4	31	24.8%
5	6	4.8%
6	5	4.0%

Value	Count	Frequency (%)
6	5	4.0%
5	6	4.8%
4	31	24.8%
3	45	36.0%
2	31	24.8%
1	6	4.8%

soup
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

1.0	97
2.0	27

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	372
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	97	77.6%
2.0	27	21.6%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	97	78.2%
2.0	27	21.8%

Most occurring characters

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	27	7.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	27	7.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	27	7.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	27	7.3%

sports
Categorical

Missing

Distinct	2
Distinct (%)	1.6%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

1.0	75
2.0	48

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	369
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	75	60.0%
2.0	48	38.4%
(Missing)	2	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	75	61.0%
2.0	48	39.0%

Most occurring characters

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	75	20.3%
2	48	13.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	75	20.3%
2	48	13.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	75	20.3%
2	48	13.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	75	20.3%
2	48	13.0%

thai_food
Categorical

High correlation

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	37
3	26
4	25
1	20
2	17

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	5
4th row	5
5th row	4

Common Values

Value	Count	Frequency (%)
5	37	29.6%
3	26	20.8%
4	25	20.0%
1	20	16.0%
2	17	13.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	37	29.6%
3	26	20.8%
4	25	20.0%
1	20	16.0%
2	17	13.6%

Most occurring characters

Value	Count	Frequency (%)
5	37	29.6%
3	26	20.8%
4	25	20.0%
1	20	16.0%
2	17	13.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	37	29.6%
3	26	20.8%
4	25	20.0%
1	20	16.0%
2	17	13.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	37	29.6%
3	26	20.8%
4	25	20.0%
1	20	16.0%
2	17	13.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	37	29.6%
3	26	20.8%
4	25	20.0%
1	20	16.0%
2	17	13.6%

tortilla_calories
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

1165.0	46
940.0	43
725.0	22
580.0	13

Length

Max length	6
Median length	5
Mean length	5.3709677
Min length	5

Characters and Unicode

Total characters	666
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1165.0
2nd row	725.0
3rd row	1165.0
4th row	725.0
5th row	940.0

Common Values

Value	Count	Frequency (%)
1165.0	46	36.8%
940.0	43	34.4%
725.0	22	17.6%
580.0	13	10.4%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1165.0	46	37.1%
940.0	43	34.7%
725.0	22	17.7%
580.0	13	10.5%

Most occurring characters

Value	Count	Frequency (%)
0	180	27.0%
.	124	18.6%
1	92	13.8%
5	81	12.2%
6	46	6.9%
9	43	6.5%
4	43	6.5%
7	22	3.3%
2	22	3.3%
8	13	2.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	666	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	180	27.0%
.	124	18.6%
1	92	13.8%
5	81	12.2%
6	46	6.9%
9	43	6.5%
4	43	6.5%
7	22	3.3%
2	22	3.3%
8	13	2.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	666	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	180	27.0%
.	124	18.6%
1	92	13.8%
5	81	12.2%
6	46	6.9%
9	43	6.5%
4	43	6.5%
7	22	3.3%
2	22	3.3%
8	13	2.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	666	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	180	27.0%
.	124	18.6%
1	92	13.8%
5	81	12.2%
6	46	6.9%
9	43	6.5%
4	43	6.5%
7	22	3.3%
2	22	3.3%
8	13	2.0%

turkey_calories
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

500	50
690	39
345	26
850	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	375
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	345
2nd row	690
3rd row	500
4th row	690
5th row	500

Common Values

Value	Count	Frequency (%)
500	50	40.0%
690	39	31.2%
345	26	20.8%
850	10	8.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
500	50	40.0%
690	39	31.2%
345	26	20.8%
850	10	8.0%

Most occurring characters

Value	Count	Frequency (%)
0	149	39.7%
5	86	22.9%
6	39	10.4%
9	39	10.4%
3	26	6.9%
4	26	6.9%
8	10	2.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	149	39.7%
5	86	22.9%
6	39	10.4%
9	39	10.4%
3	26	6.9%
4	26	6.9%
8	10	2.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	149	39.7%
5	86	22.9%
6	39	10.4%
9	39	10.4%
3	26	6.9%
4	26	6.9%
8	10	2.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	149	39.7%
5	86	22.9%
6	39	10.4%
9	39	10.4%
3	26	6.9%
4	26	6.9%
8	10	2.7%

type_sports
Text

Distinct	67
Distinct (%)	53.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Length

Max length	59
Median length	38
Mean length	10.344
Min length	4

Characters and Unicode

Total characters	1293
Distinct characters	47
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	40.8%

Sample

1st row	car racing
2nd row	Basketball
3rd row	none
4th row	Unknow
5th row	Softball

Value	Count	Frequency (%)
unknow	26	13.4%
hockey	15	7.7%
none	14	7.2%
soccer	11	5.7%
softball	10	5.2%
basketball	10	5.2%
volleyball	9	4.6%
and	5	2.6%
tennis	5	2.6%
lacrosse	5	2.6%
Other values (59)	84	43.3%

Most occurring characters

Value	Count	Frequency (%)
n	139	10.8%
o	123	9.5%
l	109	8.4%
e	104	8.0%
	89	6.9%
a	85	6.6%
c	62	4.8%
k	56	4.3%
s	52	4.0%
t	49	3.8%
Other values (37)	425	32.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1293	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	139	10.8%
o	123	9.5%
l	109	8.4%
e	104	8.0%
	89	6.9%
a	85	6.6%
c	62	4.8%
k	56	4.3%
s	52	4.0%
t	49	3.8%
Other values (37)	425	32.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1293	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	139	10.8%
o	123	9.5%
l	109	8.4%
e	104	8.0%
	89	6.9%
a	85	6.6%
c	62	4.8%
k	56	4.3%
s	52	4.0%
t	49	3.8%
Other values (37)	425	32.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1293	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	139	10.8%
o	123	9.5%
l	109	8.4%
e	104	8.0%
	89	6.9%
a	85	6.6%
c	62	4.8%
k	56	4.3%
s	52	4.0%
t	49	3.8%
Other values (37)	425	32.9%

veggies_day
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	53
4	37
3	21
2	11
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	4
3rd row	5
4th row	3
5th row	4

Common Values

Value	Count	Frequency (%)
5	53	42.4%
4	37	29.6%
3	21	16.8%
2	11	8.8%
1	3	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	53	42.4%
4	37	29.6%
3	21	16.8%
2	11	8.8%
1	3	2.4%

Most occurring characters

Value	Count	Frequency (%)
5	53	42.4%
4	37	29.6%
3	21	16.8%
2	11	8.8%
1	3	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	53	42.4%
4	37	29.6%
3	21	16.8%
2	11	8.8%
1	3	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	53	42.4%
4	37	29.6%
3	21	16.8%
2	11	8.8%
1	3	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	53	42.4%
4	37	29.6%
3	21	16.8%
2	11	8.8%
1	3	2.4%

vitamins
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2	64
1	61

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
2	64	51.2%
1	61	48.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	64	51.2%
1	61	48.8%

Most occurring characters

Value	Count	Frequency (%)
2	64	51.2%
1	61	48.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	64	51.2%
1	61	48.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	64	51.2%
1	61	48.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	64	51.2%
1	61	48.8%

waffle_calories
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1315	62
900	38
760	22
575	3

Length

Max length	4
Median length	3
Mean length	3.496
Min length	3

Characters and Unicode

Total characters	437
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1315
2nd row	900
3rd row	900
4th row	1315
5th row	760

Common Values

Value	Count	Frequency (%)
1315	62	49.6%
900	38	30.4%
760	22	17.6%
575	3	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1315	62	49.6%
900	38	30.4%
760	22	17.6%
575	3	2.4%

Most occurring characters

Value	Count	Frequency (%)
1	124	28.4%
0	98	22.4%
5	68	15.6%
3	62	14.2%
9	38	8.7%
7	25	5.7%
6	22	5.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	437	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	124	28.4%
0	98	22.4%
5	68	15.6%
3	62	14.2%
9	38	8.7%
7	25	5.7%
6	22	5.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	437	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	124	28.4%
0	98	22.4%
5	68	15.6%
3	62	14.2%
9	38	8.7%
7	25	5.7%
6	22	5.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	437	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	124	28.4%
0	98	22.4%
5	68	15.6%
3	62	14.2%
9	38	8.7%
7	25	5.7%
6	22	5.0%

weight
Categorical

High correlation Missing

Distinct	47
Distinct (%)	38.2%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

135	8
140	8
150	7
170	7
155	6
Other values (42)	87

Length

Max length	24
Median length	3
Mean length	3.2845528
Min length	3

Characters and Unicode

Total characters	404
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	21.1%

Sample

1st row	187
2nd row	155
3rd row	I'm not answering this.
4th row	Not sure, 240
5th row	190

Common Values

Value	Count	Frequency (%)
135	8	6.4%
140	8	6.4%
150	7	5.6%
170	7	5.6%
155	6	4.8%
175	6	4.8%
180	6	4.8%
185	6	4.8%
190	5	4.0%
125	5	4.0%
Other values (37)	59	47.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
135	8	6.2%
140	8	6.2%
150	7	5.4%
170	7	5.4%
155	6	4.7%
175	6	4.7%
180	6	4.7%
185	6	4.7%
165	5	3.9%
125	5	3.9%
Other values (42)	65	50.4%

Most occurring characters

Value	Count	Frequency (%)
1	119	29.5%
0	61	15.1%
5	59	14.6%
2	28	6.9%
8	19	4.7%
7	18	4.5%
3	18	4.5%
4	17	4.2%
6	17	4.2%
9	10	2.5%
Other values (21)	38	9.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	404	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	119	29.5%
0	61	15.1%
5	59	14.6%
2	28	6.9%
8	19	4.7%
7	18	4.5%
3	18	4.5%
4	17	4.2%
6	17	4.2%
9	10	2.5%
Other values (21)	38	9.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	404	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	119	29.5%
0	61	15.1%
5	59	14.6%
2	28	6.9%
8	19	4.7%
7	18	4.5%
3	18	4.5%
4	17	4.2%
6	17	4.2%
9	10	2.5%
Other values (21)	38	9.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	404	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	119	29.5%
0	61	15.1%
5	59	14.6%
2	28	6.9%
8	19	4.7%
7	18	4.5%
3	18	4.5%
4	17	4.2%
6	17	4.2%
9	10	2.5%
Other values (21)	38	9.4%

Interactions

Correlations

	GPA	Gender	breakfast	calories_chicken	calories_day	calories_scone	coffee	comfort_food_reasons_coded.1	cook	cuisine	diet_current_coded	drink	eating_changes_coded	eating_changes_coded1	eating_out	employment	ethnic_food	exercise	father_education	fav_cuisine_coded	fav_food	fries	fruit_day	grade_level	greek_food	healthy_feeling	ideal_diet_coded	income	indian_food	italian_food	life_rewarding	marital_status	mother_education	nutritional_check	on_off_campus	parents_cook	pay_meal_out	persian_food	self_perception_weight	soup	sports	thai_food	tortilla_calories	turkey_calories	veggies_day	vitamins	waffle_calories	weight
GPA	1.000	0.000	0.000	0.185	0.000	0.165	0.000	-0.069	0.000	-0.067	0.115	0.162	0.126	0.081	0.084	0.000	0.220	0.069	0.213	-0.028	0.000	0.191	0.307	0.071	0.102	-0.077	-0.151	0.083	0.066	0.170	-0.005	0.364	0.238	0.207	0.138	0.000	0.077	0.000	0.020	0.000	0.000	0.153	0.151	0.108	0.173	0.000	0.000	0.068
Gender	0.000	1.000	0.054	0.000	0.000	0.118	0.000	0.151	0.329	0.000	0.064	0.164	0.077	0.000	0.065	0.125	0.140	0.154	0.000	0.156	0.078	0.000	0.064	0.000	0.160	0.211	0.290	0.000	0.000	0.000	0.000	0.191	0.205	0.120	0.069	0.068	0.115	0.000	0.240	0.000	0.155	0.147	0.163	0.282	0.100	0.000	0.000	0.421
breakfast	0.000	0.054	1.000	0.000	0.000	0.000	0.000	0.176	0.100	0.000	0.186	0.166	0.123	0.106	0.000	0.000	0.322	0.000	0.190	0.241	0.190	0.000	0.299	0.128	0.258	0.000	0.000	0.161	0.190	0.000	0.110	0.219	0.000	0.081	0.109	0.000	0.000	0.000	0.000	0.122	0.000	0.000	0.000	0.033	0.295	0.000	0.000	0.000
calories_chicken	0.185	0.000	0.000	1.000	0.205	0.141	0.204	0.000	0.000	0.037	0.057	0.015	0.000	0.109	0.000	0.000	0.107	0.059	0.198	0.214	0.000	0.000	0.000	0.191	0.024	0.087	0.118	0.000	0.000	0.192	0.140	0.189	0.163	0.106	0.000	0.084	0.000	0.000	0.000	0.000	0.063	0.032	0.254	0.233	0.000	0.140	0.224	0.042
calories_day	0.000	0.000	0.000	0.205	1.000	0.126	0.028	0.147	0.055	0.000	0.100	0.000	0.000	0.164	0.067	0.000	0.159	0.200	0.019	0.000	0.078	0.000	0.164	0.000	0.099	0.153	0.237	0.000	0.097	0.000	0.000	0.000	0.000	0.269	0.000	0.000	0.000	0.000	0.151	0.000	0.079	0.135	0.117	0.168	0.107	0.309	0.130	0.000
calories_scone	0.165	0.118	0.000	0.141	0.126	1.000	0.056	0.227	0.119	0.174	0.075	0.040	0.000	0.000	0.154	0.105	0.090	0.000	0.277	0.208	0.000	0.000	0.043	0.000	0.000	0.156	0.000	0.017	0.126	0.132	0.124	0.000	0.000	0.262	0.115	0.187	0.143	0.000	0.281	0.000	0.000	0.111	0.181	0.103	0.123	0.000	0.274	0.000
coffee	0.000	0.000	0.000	0.204	0.028	0.056	1.000	0.157	0.099	0.000	0.000	0.000	0.000	0.170	0.133	0.000	0.147	0.000	0.000	0.211	0.000	0.000	0.000	0.115	0.000	0.000	0.141	0.000	0.000	0.096	0.130	0.133	0.126	0.226	0.000	0.080	0.000	0.000	0.000	0.144	0.000	0.106	0.000	0.000	0.077	0.000	0.000	0.000
comfort_food_reasons_coded.1	-0.069	0.151	0.176	0.000	0.147	0.227	0.157	1.000	0.132	0.143	0.172	0.164	0.000	-0.031	0.000	0.081	0.000	0.162	0.157	-0.021	0.125	0.135	0.129	0.049	0.000	-0.064	0.042	-0.080	0.058	0.000	0.044	0.266	0.209	0.182	0.000	0.000	0.000	0.173	-0.090	0.128	0.083	0.000	0.021	0.056	0.175	0.000	0.000	0.210
cook	0.000	0.329	0.100	0.000	0.055	0.119	0.099	0.132	1.000	0.000	0.168	0.104	0.000	0.000	0.034	0.000	0.092	0.161	0.137	0.000	0.000	0.159	0.000	0.143	0.000	0.000	0.170	0.000	0.000	0.126	0.073	0.000	0.079	0.166	0.079	0.154	0.092	0.000	0.000	0.000	0.138	0.037	0.106	0.170	0.000	0.055	0.223	0.187
cuisine	-0.067	0.000	0.000	0.037	0.000	0.174	0.000	0.143	0.000	1.000	0.087	0.133	0.000	0.110	0.000	0.000	0.000	0.073	0.179	0.001	0.135	0.228	0.000	0.038	0.000	0.133	0.088	-0.104	0.076	0.208	0.098	0.384	0.190	0.000	0.000	0.062	0.144	0.102	0.138	0.000	0.099	0.066	0.078	0.000	0.096	0.000	0.243	0.307
diet_current_coded	0.115	0.064	0.186	0.057	0.100	0.075	0.000	0.172	0.168	0.087	1.000	0.305	0.198	0.258	0.030	0.000	0.000	0.078	0.045	0.000	0.000	0.154	0.103	0.000	0.000	0.100	0.126	0.213	0.000	0.110	0.109	0.295	0.000	0.197	0.167	0.000	0.001	0.032	0.000	0.000	0.012	0.047	0.073	0.000	0.216	0.138	0.157	0.000
drink	0.162	0.164	0.166	0.015	0.000	0.040	0.000	0.164	0.104	0.133	0.305	1.000	0.189	0.131	0.000	0.115	0.129	0.000	0.000	0.000	0.022	0.191	0.081	0.000	0.061	0.000	0.000	0.243	0.172	0.000	0.116	0.000	0.163	0.209	0.000	0.000	0.014	0.270	0.101	0.000	0.000	0.000	0.000	0.000	0.252	0.126	0.000	0.260
eating_changes_coded	0.126	0.077	0.123	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.198	0.189	1.000	0.784	0.000	0.159	0.108	0.000	0.137	0.000	0.000	0.000	0.000	0.000	0.074	0.000	0.000	0.000	0.133	0.178	0.000	0.181	0.099	0.152	0.123	0.000	0.100	0.000	0.000	0.000	0.000	0.068	0.121	0.000	0.000	0.086	0.000	0.375
eating_changes_coded1	0.081	0.000	0.106	0.109	0.164	0.000	0.170	-0.031	0.000	0.110	0.258	0.131	0.784	1.000	0.080	0.055	0.073	0.000	0.000	0.094	0.000	0.121	0.072	0.000	0.037	-0.030	-0.021	-0.009	0.138	0.042	0.018	0.000	0.088	0.136	0.023	0.000	0.022	0.119	-0.043	0.196	0.000	0.067	0.000	0.000	0.000	0.183	0.000	0.134
eating_out	0.084	0.065	0.000	0.000	0.067	0.154	0.133	0.000	0.034	0.000	0.030	0.000	0.000	0.080	1.000	0.000	0.000	0.000	0.227	0.027	0.094	0.079	0.000	0.103	0.000	0.109	0.000	0.000	0.000	0.000	0.090	0.112	0.097	0.000	0.000	0.161	0.056	0.115	0.000	0.000	0.000	0.000	0.000	0.093	0.000	0.116	0.116	0.068
employment	0.000	0.125	0.000	0.000	0.000	0.105	0.000	0.081	0.000	0.000	0.000	0.115	0.159	0.055	0.000	1.000	0.000	0.000	0.114	0.000	0.000	0.042	0.000	0.000	0.052	0.000	0.060	0.115	0.000	0.000	0.000	0.000	0.098	0.073	0.343	0.000	0.000	0.000	0.170	0.000	0.141	0.103	0.105	0.000	0.000	0.000	0.000	0.551
ethnic_food	0.220	0.140	0.322	0.107	0.159	0.090	0.147	0.000	0.092	0.000	0.000	0.129	0.108	0.073	0.000	0.000	1.000	0.000	0.089	0.256	0.244	0.035	0.258	0.000	0.332	0.000	0.000	0.000	0.464	0.170	0.143	0.000	0.000	0.154	0.000	0.073	0.105	0.365	0.000	0.264	0.000	0.395	0.000	0.049	0.166	0.066	0.057	0.000
exercise	0.069	0.154	0.000	0.059	0.200	0.000	0.000	0.162	0.161	0.073	0.078	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.201	0.070	0.000	0.202	0.000	0.000	0.000	0.107	0.000	0.000	0.000	0.119	0.119	0.000	0.000	0.000	0.308	0.000	0.418	0.000	0.075	0.069	0.103	0.000	0.000	0.217
father_education	0.213	0.000	0.190	0.198	0.019	0.277	0.000	0.157	0.137	0.179	0.045	0.000	0.137	0.000	0.227	0.114	0.089	0.000	1.000	0.326	0.026	0.036	0.159	0.081	0.106	0.144	0.090	0.274	0.134	0.256	0.154	0.321	0.306	0.102	0.139	0.092	0.186	0.139	0.000	0.000	0.114	0.000	0.120	0.083	0.135	0.171	0.085	0.242
fav_cuisine_coded	-0.028	0.156	0.241	0.214	0.000	0.208	0.211	-0.021	0.000	0.001	0.000	0.000	0.000	0.094	0.027	0.000	0.256	0.000	0.326	1.000	0.115	0.343	0.188	0.000	0.160	-0.043	-0.046	-0.286	0.206	0.349	0.031	0.209	0.246	0.034	0.000	0.167	0.223	0.182	0.055	0.000	0.000	0.211	0.162	0.000	0.249	0.101	0.125	0.157
fav_food	0.000	0.078	0.190	0.000	0.078	0.000	0.000	0.125	0.000	0.135	0.000	0.022	0.000	0.000	0.094	0.000	0.244	0.000	0.026	0.115	1.000	0.085	0.119	0.000	0.254	0.000	0.000	0.000	0.127	0.093	0.061	0.150	0.169	0.000	0.081	0.109	0.139	0.076	0.089	0.253	0.063	0.095	0.000	0.131	0.127	0.000	0.000	0.159
fries	0.191	0.000	0.000	0.000	0.000	0.000	0.000	0.135	0.159	0.228	0.154	0.191	0.000	0.121	0.079	0.042	0.035	0.000	0.036	0.343	0.085	1.000	0.000	0.055	0.102	0.000	0.000	0.000	0.152	0.000	0.152	0.000	0.000	0.000	0.000	0.000	0.107	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.277	0.142	0.229
fruit_day	0.307	0.064	0.299	0.000	0.164	0.043	0.000	0.129	0.000	0.000	0.103	0.081	0.000	0.072	0.000	0.000	0.258	0.201	0.159	0.188	0.119	0.000	1.000	0.097	0.126	0.171	0.000	0.000	0.124	0.000	0.111	0.000	0.079	0.146	0.000	0.000	0.000	0.014	0.165	0.165	0.000	0.024	0.000	0.079	0.426	0.247	0.000	0.000
grade_level	0.071	0.000	0.128	0.191	0.000	0.000	0.115	0.049	0.143	0.038	0.000	0.000	0.000	0.000	0.103	0.000	0.000	0.070	0.081	0.000	0.000	0.055	0.097	1.000	0.134	0.000	0.080	0.171	0.045	0.165	0.000	0.058	0.091	0.136	0.261	0.095	0.000	0.107	0.140	0.000	0.215	0.213	0.000	0.033	0.067	0.000	0.000	0.141
greek_food	0.102	0.160	0.258	0.024	0.099	0.000	0.000	0.000	0.000	0.000	0.000	0.061	0.074	0.037	0.000	0.052	0.332	0.000	0.106	0.160	0.254	0.102	0.126	0.134	1.000	0.000	0.000	0.000	0.367	0.165	0.000	0.000	0.105	0.108	0.000	0.000	0.000	0.414	0.000	0.000	0.034	0.321	0.000	0.000	0.103	0.000	0.080	0.000
healthy_feeling	-0.077	0.211	0.000	0.087	0.153	0.156	0.000	-0.064	0.000	0.133	0.100	0.000	0.000	-0.030	0.109	0.000	0.000	0.202	0.144	-0.043	0.000	0.000	0.171	0.000	0.000	1.000	-0.034	0.014	0.000	0.000	0.626	0.000	0.000	0.163	0.000	0.145	0.102	0.000	0.016	0.000	0.298	0.071	0.000	0.000	0.162	0.052	0.000	0.168
ideal_diet_coded	-0.151	0.290	0.000	0.118	0.237	0.000	0.141	0.042	0.170	0.088	0.126	0.000	0.000	-0.021	0.000	0.060	0.000	0.000	0.090	-0.046	0.000	0.000	0.000	0.080	0.000	-0.034	1.000	0.082	0.000	0.000	-0.004	0.374	0.237	0.046	0.000	0.081	0.000	0.000	-0.283	0.000	0.160	0.000	0.000	0.063	0.163	0.000	0.000	0.147
income	0.083	0.000	0.161	0.000	0.000	0.017	0.000	-0.080	0.000	-0.104	0.213	0.243	0.000	-0.009	0.000	0.115	0.000	0.000	0.274	-0.286	0.000	0.000	0.000	0.171	0.000	0.014	0.082	1.000	0.052	0.085	0.038	0.000	0.186	0.072	0.000	0.000	0.031	0.000	-0.147	0.151	0.148	0.000	0.000	0.106	0.030	0.000	0.122	0.124
indian_food	0.066	0.000	0.190	0.000	0.097	0.126	0.000	0.058	0.000	0.076	0.000	0.172	0.133	0.138	0.000	0.000	0.464	0.000	0.134	0.206	0.127	0.152	0.124	0.045	0.367	0.000	0.000	0.052	1.000	0.030	0.107	0.000	0.151	0.000	0.094	0.000	0.000	0.547	0.000	0.067	0.000	0.557	0.000	0.000	0.000	0.000	0.126	0.062
italian_food	0.170	0.000	0.000	0.192	0.000	0.132	0.096	0.000	0.126	0.208	0.110	0.000	0.178	0.042	0.000	0.000	0.170	0.107	0.256	0.349	0.093	0.000	0.000	0.165	0.165	0.000	0.000	0.085	0.030	1.000	0.068	0.272	0.227	0.000	0.000	0.000	0.000	0.059	0.179	0.080	0.230	0.164	0.143	0.000	0.100	0.170	0.139	0.180
life_rewarding	-0.005	0.000	0.110	0.140	0.000	0.124	0.130	0.044	0.073	0.098	0.109	0.116	0.000	0.018	0.090	0.000	0.143	0.000	0.154	0.031	0.061	0.152	0.111	0.000	0.000	0.626	-0.004	0.038	0.107	0.068	1.000	0.218	0.052	0.088	0.000	0.000	0.000	0.104	-0.128	0.000	0.000	0.000	0.000	0.000	0.140	0.000	0.061	0.000
marital_status	0.364	0.191	0.219	0.189	0.000	0.000	0.133	0.266	0.000	0.384	0.295	0.000	0.181	0.000	0.112	0.000	0.000	0.000	0.321	0.209	0.150	0.000	0.000	0.058	0.000	0.000	0.374	0.000	0.000	0.272	0.218	1.000	0.302	0.000	0.062	0.170	0.150	0.000	0.000	0.114	0.077	0.000	0.131	0.000	0.029	0.182	0.041	0.000
mother_education	0.238	0.205	0.000	0.163	0.000	0.000	0.126	0.209	0.079	0.190	0.000	0.163	0.099	0.088	0.097	0.098	0.000	0.000	0.306	0.246	0.169	0.000	0.079	0.091	0.105	0.000	0.237	0.186	0.151	0.227	0.052	0.302	1.000	0.000	0.000	0.000	0.123	0.176	0.000	0.000	0.000	0.000	0.000	0.086	0.079	0.000	0.000	0.244
nutritional_check	0.207	0.120	0.081	0.106	0.269	0.262	0.226	0.182	0.166	0.000	0.197	0.209	0.152	0.136	0.000	0.073	0.154	0.119	0.102	0.034	0.000	0.000	0.146	0.136	0.108	0.163	0.046	0.072	0.000	0.000	0.088	0.000	0.000	1.000	0.000	0.000	0.104	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.206	0.374	0.000	0.000
on_off_campus	0.138	0.069	0.109	0.000	0.000	0.115	0.000	0.000	0.079	0.000	0.167	0.000	0.123	0.023	0.000	0.343	0.000	0.119	0.139	0.000	0.081	0.000	0.000	0.261	0.000	0.000	0.000	0.000	0.094	0.000	0.000	0.062	0.000	0.000	1.000	0.068	0.000	0.071	0.056	0.000	0.000	0.063	0.000	0.092	0.000	0.000	0.000	0.377
parents_cook	0.000	0.068	0.000	0.084	0.000	0.187	0.080	0.000	0.154	0.062	0.000	0.000	0.000	0.000	0.161	0.000	0.073	0.000	0.092	0.167	0.109	0.000	0.000	0.095	0.000	0.145	0.081	0.000	0.000	0.000	0.000	0.170	0.000	0.000	0.068	1.000	0.117	0.000	0.000	0.000	0.164	0.000	0.159	0.039	0.000	0.000	0.044	0.000
pay_meal_out	0.077	0.115	0.000	0.000	0.000	0.143	0.000	0.000	0.092	0.144	0.001	0.014	0.100	0.022	0.056	0.000	0.105	0.000	0.186	0.223	0.139	0.107	0.000	0.000	0.000	0.102	0.000	0.031	0.000	0.000	0.000	0.150	0.123	0.104	0.000	0.117	1.000	0.000	0.000	0.000	0.000	0.095	0.000	0.000	0.143	0.193	0.000	0.182
persian_food	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.173	0.000	0.102	0.032	0.270	0.000	0.119	0.115	0.000	0.365	0.000	0.139	0.182	0.076	0.000	0.014	0.107	0.414	0.000	0.000	0.000	0.547	0.059	0.104	0.000	0.176	0.000	0.071	0.000	0.000	1.000	0.000	0.131	0.000	0.395	0.107	0.000	0.000	0.000	0.000	0.174
self_perception_weight	0.020	0.240	0.000	0.000	0.151	0.281	0.000	-0.090	0.000	0.138	0.000	0.101	0.000	-0.043	0.000	0.170	0.000	0.308	0.000	0.055	0.089	0.000	0.165	0.140	0.000	0.016	-0.283	-0.147	0.000	0.179	-0.128	0.000	0.000	0.000	0.056	0.000	0.000	0.000	1.000	0.000	0.297	0.000	0.073	0.000	0.096	0.000	0.073	0.292
soup	0.000	0.000	0.122	0.000	0.000	0.000	0.144	0.128	0.000	0.000	0.000	0.000	0.000	0.196	0.000	0.000	0.264	0.000	0.000	0.000	0.253	0.000	0.165	0.000	0.000	0.000	0.000	0.151	0.067	0.080	0.000	0.114	0.000	0.000	0.000	0.000	0.000	0.131	0.000	1.000	0.000	0.000	0.099	0.000	0.117	0.000	0.000	0.291
sports	0.000	0.155	0.000	0.063	0.079	0.000	0.000	0.083	0.138	0.099	0.012	0.000	0.000	0.000	0.000	0.141	0.000	0.418	0.114	0.000	0.063	0.000	0.000	0.215	0.034	0.298	0.160	0.148	0.000	0.230	0.000	0.077	0.000	0.000	0.000	0.164	0.000	0.000	0.297	0.000	1.000	0.079	0.143	0.146	0.000	0.000	0.000	0.387
thai_food	0.153	0.147	0.000	0.032	0.135	0.111	0.106	0.000	0.037	0.066	0.047	0.000	0.068	0.067	0.000	0.103	0.395	0.000	0.000	0.211	0.095	0.000	0.024	0.213	0.321	0.071	0.000	0.000	0.557	0.164	0.000	0.000	0.000	0.000	0.063	0.000	0.095	0.395	0.000	0.000	0.079	1.000	0.077	0.068	0.000	0.000	0.030	0.226
tortilla_calories	0.151	0.163	0.000	0.254	0.117	0.181	0.000	0.021	0.106	0.078	0.073	0.000	0.121	0.000	0.000	0.105	0.000	0.075	0.120	0.162	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.143	0.000	0.131	0.000	0.000	0.000	0.159	0.000	0.107	0.073	0.099	0.143	0.077	1.000	0.255	0.093	0.000	0.228	0.000
turkey_calories	0.108	0.282	0.033	0.233	0.168	0.103	0.000	0.056	0.170	0.000	0.000	0.000	0.000	0.000	0.093	0.000	0.049	0.069	0.083	0.000	0.131	0.000	0.079	0.033	0.000	0.000	0.063	0.106	0.000	0.000	0.000	0.000	0.086	0.000	0.092	0.039	0.000	0.000	0.000	0.000	0.146	0.068	0.255	1.000	0.079	0.000	0.213	0.000
veggies_day	0.173	0.100	0.295	0.000	0.107	0.123	0.077	0.175	0.000	0.096	0.216	0.252	0.000	0.000	0.000	0.000	0.166	0.103	0.135	0.249	0.127	0.000	0.426	0.067	0.103	0.162	0.163	0.030	0.000	0.100	0.140	0.029	0.079	0.206	0.000	0.000	0.143	0.000	0.096	0.117	0.000	0.000	0.093	0.079	1.000	0.233	0.102	0.000
vitamins	0.000	0.000	0.000	0.140	0.309	0.000	0.000	0.000	0.055	0.000	0.138	0.126	0.086	0.183	0.116	0.000	0.066	0.000	0.171	0.101	0.000	0.277	0.247	0.000	0.000	0.052	0.000	0.000	0.000	0.170	0.000	0.182	0.000	0.374	0.000	0.000	0.193	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.233	1.000	0.165	0.142
waffle_calories	0.000	0.000	0.000	0.224	0.130	0.274	0.000	0.000	0.223	0.243	0.157	0.000	0.000	0.000	0.116	0.000	0.057	0.000	0.085	0.125	0.000	0.142	0.000	0.000	0.080	0.000	0.000	0.122	0.126	0.139	0.061	0.041	0.000	0.000	0.000	0.044	0.000	0.000	0.073	0.000	0.000	0.030	0.228	0.213	0.102	0.165	1.000	0.188
weight	0.068	0.421	0.000	0.042	0.000	0.000	0.000	0.210	0.187	0.307	0.000	0.260	0.375	0.134	0.068	0.551	0.000	0.217	0.242	0.157	0.159	0.229	0.000	0.141	0.000	0.168	0.147	0.124	0.062	0.180	0.000	0.000	0.244	0.000	0.377	0.000	0.182	0.174	0.292	0.291	0.387	0.226	0.000	0.000	0.000	0.142	0.188	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	GPA	Gender	breakfast	calories_chicken	calories_day	calories_scone	coffee	comfort_food	comfort_food_reasons	cook	comfort_food_reasons_coded.1	cuisine	diet_current	diet_current_coded	drink	eating_changes	eating_changes_coded	eating_changes_coded1	eating_out	employment	ethnic_food	exercise	father_education	father_profession	fav_cuisine	fav_cuisine_coded	fav_food	food_childhood	fries	fruit_day	grade_level	greek_food	healthy_feeling	healthy_meal	ideal_diet	ideal_diet_coded	income	indian_food	italian_food	life_rewarding	marital_status	meals_dinner_friend	mother_education	mother_profession	nutritional_check	on_off_campus	parents_cook	pay_meal_out	persian_food	self_perception_weight	soup	sports	thai_food	tortilla_calories	turkey_calories	type_sports	veggies_day	vitamins	waffle_calories	weight
0	2.400	2	1	430	0.0	315.0	1	none	we dont have comfort	2.0	9	6.0	eat good and exercise	1	1.0	eat faster	1	1	3	3.0	1	1.0	5.0	profesor	Arabic cuisine	3	1.0	rice and chicken	2	5	2	5	2	looks not oily	being healthy	8	5.0	5	5	1.0	1.0	rice, chicken, soup	1.0	unemployed	5	1.0	1	2	5.0	3.0	1.0	1.0	1	1165.0	345	car racing	5	1	1315	187
1	3.654	1	1	610	3.0	420.0	2	chocolate, chips, ice cream	Stress, bored, anger	3.0	1	1.0	I eat about three times a day with some snacks. I try to eat healthy but it doesn't always work out that- sometimes eat fast food and mainly eat at Laker/ Egan	2	2.0	I eat out more than usual.	1	2	2	2.0	4	1.0	2.0	Self employed	Italian	1	1.0	chicken and biscuits, beef soup, baked beans	1	4	4	4	5	Grains, Veggies, (more of grains and veggies), small protein and fruit with dairy	Try to eat 5-6 small meals a day. While trying to properly distribute carbs, protein, fruits, veggies, and dairy.	3	4.0	4	4	1.0	2.0	Pasta, steak, chicken	4.0	Nurse RN	4	1.0	1	4	4.0	3.0	1.0	1.0	2	725.0	690	Basketball	4	2	900	155
2	3.300	1	1	720	4.0	420.0	2	frozen yogurt, pizza, fast food	stress, sadness	1.0	1	3.0	toast and fruit for breakfast, salad for lunch, usually grilled chicken and veggies (or some variation) for dinner	3	1.0	sometimes choosing to eat fast food instead of cooking simply for convenience	1	3	2	3.0	5	2.0	2.0	owns business	italian	1	3.0	mac and cheese, pizza, tacos	1	5	3	5	6	usually includes natural ingredients; nonprocessed food	i would say my ideal diet is my current diet	6	6.0	5	5	7.0	2.0	chicken and rice with veggies, pasta, some kind of healthy recipe	2.0	owns business	4	2.0	1	3	5.0	6.0	1.0	2.0	5	1165.0	500	none	5	1	900	I'm not answering this.
3	3.200	1	1	430	3.0	420.0	2	Pizza, Mac and cheese, ice cream	Boredom	2.0	2	2.0	College diet, cheap and easy foods most nights. Weekends traditionally, cook better homemade meals	2	2.0	Accepting cheap and premade/store bought foods	1	3	2	3.0	5	3.0	2.0	Mechanic	Turkish	3	1.0	Beef stroganoff, tacos, pizza	2	4	4	5	7	Fresh fruits& vegetables, organic meats	Healthy, fresh veggies/fruits & organic foods	2	6.0	5	5	2.0	2.0	Grilled chicken \rStuffed Shells\rHomemade Chili	4.0	Special Education Teacher	2	1.0	1	2	5.0	5.0	1.0	2.0	5	725.0	690	Unknow	3	1	1315	Not sure, 240
4	3.500	1	1	720	2.0	420.0	2	Ice cream, chocolate, chips	Stress, boredom, cravings	1.0	1	2.0	I try to eat healthy but often struggle because of living on campus. I still try to keep the choices I do make balanced with fruits and vegetables and limit the sweats.	2	2.0	I have eaten generally the same foods but I do find myself eating the same food frequently due to what I have found I like from egan and the laker.	3	4	2	2.0	4	1.0	4.0	IT	Italian	1	3.0	Pasta, chicken tender, pizza	1	4	4	4	6	A lean protein such as grilled chicken, green vegetables and brown rice or other whole grain	Ideally I would like to be able to eat healthier foods in order to loose weight.	2	6.0	2	5	1.0	1.0	Chicken Parmesan, Pulled Pork, Spaghetti and meatballs	5.0	Substance Abuse Conselor	3	1.0	1	4	2.0	4.0	1.0	1.0	4	940.0	500	Softball	4	2	760	190
5	2.250	1	1	610	3.0	980.0	2	Candy, brownies and soda.	None, i don't eat comfort food. I just eat when i'm hungry.	3.0	4	6.0	My current diet is terrible. I barely have time to eat a meal in a day. When i do eat it's mostly not healthy.	2	2.0	Eating rice everyday. Eating less homemade food.	1	3	1	3.0	4	2.0	1.0	Taxi Driver	African	6	3.0	Fries, plaintain & fried fish	1	2	2	2	4	Requires veggies, fruits and a cooked meal.	My ideal diet is to eat 3 times a day including breakfast on time. Eat healthy food.	2	1.0	5	5	4.0	2.0	Anything they'd want. I'd ask them before hand what they want to eat and it depends on which type of friend is coming.	1.0	Hair Braider	1	1.0	2	5	5.0	5.0	1.0	2.0	4	940.0	345	None.	1	2	1315	190
6	3.800	2	1	610	3.0	420.0	2	Chocolate, ice cream, french fries, pretzels	stress, boredom	2.0	1	1.0	I eat a lot of chicken and broccoli for dinner, and usually tuna sandwiches for lunch.	3	1.0	I started eating a lot less and healthier because I wasn't playing sports year round anymore.	2	5	2	3.0	5	1.0	4.0	Assembler	Thai	4	1.0	grilled chicken, hamburgers	1	4	4	5	4	Protein, vegetables, fruit, and some carbs	I would ideally like to eat more fresh fruits and vegetables. However, its difficult to get to the store all the time to buy fresh.	2	4.0	5	5	8.0	1.0	Grilled chicken, steak, pizza	4.0	Journalist	4	2.0	2	2	5.0	4.0	1.0	1.0	5	940.0	690	soccer	4	1	1315	180
7	3.300	1	1	720	3.0	420.0	1	Ice cream, cheeseburgers, chips.	I eat comfort food when im stressed out from school(finals week), when I`m sad, or when i am dealing with personal family issues.	3.0	1	1.0	I eat a very healthy diet. Ocassionally, i will eat out and get unhealthy food.	1	2.0	Freshmen year i ate very unhealthy, but now it is much healthier because of self control.	2	5	2	2.0	2	2.0	3.0	Business guy	Anything american style.	5	1.0	chicken, cheesey potatoes, and hot dogs	1	5	2	3	3	A healthy meal has a piece of meat followed by a lot of fruit and veggies	My ideal diet is filled with a lot of fruit and chicken. I also really enjoy eggs any type of way with toast.	2	5.0	1	3	3.0	1.0	chicken, steak, pasta	2.0	cook	4	1.0	1	5	1.0	3.0	1.0	2.0	1	725.0	500	none	4	2	1315	137
8	3.300	1	1	430	0.0	420.0	1	Donuts, ice cream, chips	Boredom	3.0	2	1.0	I eat whatever I want in moderation.	1	1.0	I snack less	2	8	5	2.0	5	0.0	5.0	High School Principal	Seafood	1	3.0	Shrimp, spaghetti	1	4	1	5	7	Colorful	The same as it is now.	6	5.0	5	5	8.0	2.0	Pasta, Fish, Steak	5.0	Elementary School Teacher	2	1.0	2	3	5.0	4.0	2.0	2.0	5	725.0	345	none	3	2	760	180
9	3.300	1	1	430	3.0	315.0	2	Mac and cheese, chocolate, and pasta	Stress, anger and sadness	3.0	1	1.0	I eat healthy all the time when possible. I treat myself occasionally. I don't really like the greasy meals, if anything I would eat sweets over the greasy meals.	1	1.0	I cook a lot of my own foods back at home so not being able to cook my own healthy choices. I eat more carbs than normal when I'm at college due to the choices given in the cafe.	1	3	3	3.0	5	1.0	5.0	commissioner of erie county	Italian	1	1.0	Pasta, Eggs, Pancakes	1	5	1	5	3	Chicken and rice with a side of veggies.	Lots of protein, carbs, and fruits and veggies.	2	4.0	4	5	3.0	2.0	pasta salad and bread	5.0	Pharmaceutical rep	5	1.0	3	3	4.0	3.0	1.0	1.0	4	580.0	345	field hockey	5	1	900	125

	GPA	Gender	breakfast	calories_chicken	calories_day	calories_scone	coffee	comfort_food	comfort_food_reasons	cook	comfort_food_reasons_coded.1	cuisine	diet_current	diet_current_coded	drink	eating_changes	eating_changes_coded	eating_changes_coded1	eating_out	employment	ethnic_food	exercise	father_education	father_profession	fav_cuisine	fav_cuisine_coded	fav_food	food_childhood	fries	fruit_day	grade_level	greek_food	healthy_feeling	healthy_meal	ideal_diet	ideal_diet_coded	income	indian_food	italian_food	life_rewarding	marital_status	meals_dinner_friend	mother_education	mother_profession	nutritional_check	on_off_campus	parents_cook	pay_meal_out	persian_food	self_perception_weight	soup	sports	thai_food	tortilla_calories	turkey_calories	type_sports	veggies_day	vitamins	waffle_calories	weight
115	3.300	2	1	610	4.0	980.0	2	chocolate bar, ice cream, pretzels, potato chips and protein bars.	Stress, boredom and physical activity	4.0	1	1.0	I currently eat an abundance of carbohydrates. I have a low intake of protein. I overly intake calcium.	2	2.0	Eating more dairy due to more ice cream intake.	1	3	2	2.0	2	1.0	5.0	Pharmaceutical	I do not like cuisine	0	3.0	Pasta, Pizza, Popcorn	1	5	1	1	10	Intaking the proper amount of each food group	My ideal diet would be an equal balance of all the food groups. I would like to eat more protein. Also, i would prefer to cut back on the junk food.	3	6.0	1	4	10.0	2.0	Pasta, Chicken, Pizza	5.0	Health teacher	1	1.0	1	5	2.0	2.0	1.0	1.0	1	1165.0	690	Hockey	2	2	1315	150
116	3.400	1	1	610	0.0	420.0	2	Ice cream, chocolate, pizza, cucumber	loneliness, homework, boredom	3.0	2	6.0	It is very unbalance. Mostly fat food, Lack of vegetables.	2	1.0	less vegetable more sweats	1	3	4	3.0	4	2.0	3.0	Business Man	Chinese	4	2.0	Fry Chicken, Rice Vegetable	1	5	1	1	5	BBQ Chicken with mash sweat potatoes and steam vegetable with corn and a glass of water.	Very healthy. Freshly done. properly cooked	5	1.0	3	5	2.0	1.0	Rice and Peas and Chicken, Jerk Chicken and Shrimp	3.0	Business Woman	2	1.0	2	3	1.0	4.0	1.0	2.0	5	725.0	345	none	5	1	1315	170
117	3.770	1	1	610	0.0	315.0	2	Noodle ( any kinds of noodle), Tuna sandwich, and Egg.\r	When i'm eating with my close friends/ Food smell or look good/ when I feel tired	3.0	5	4.0	I eat in dining hall of school everyday. I usually have both meat and a little vegetable in every meal.	1	1.0	I eat more vegetable. Since coming to college, I started to eat salads and tried to eat salads at least three times a week.	2	5	2	2.0	4	0.0	2.0	His own business	Vietnamese cuisine	4	3.0	Noodle, Wings, and Tiramisu	1	3	2	2	9	Including both vegetable and meat	My ideal diet should include both vegetable and meat. It is not only healthy but also delicious.	2	2.0	2	4	7.0	1.0	Vietnamese fried rolls, Pho, Some kinds of noodles.	2.0	Her own business	2	1.0	1	2	2.0	4.0	1.0	2.0	5	725.0	690	No, I don't play sport.	3	1	760	113
118	3.630	1	1	430	3.0	420.0	1	Chinese, chips, cake	Stress and boredom	3.0	1	1.0	Try to eat as healthy as possible. A few days where fast food comes into play because of classes.	2	1.0	I try to eat more fruits and vegetables	2	5	2	2.0	4	2.0	2.0	HVAC technician	American	5	1.0	Chinese	1	5	2	3	5	Chicken vegetables and fruit for dinner	All home cooked. Healthy. Vegetables and fruit.	5	3.0	3	5	8.0	2.0	Chinese tacos or pasta	2.0	Grieveance coordinator of the SCI albion prison	2	3.0	3	4	2.0	4.0	1.0	2.0	4	940.0	345	Unknow	5	2	1315	140
119	3.200	2	1	610	3.0	420.0	2	chips, rice, chicken curry,	Happiness, boredom, social event	2.0	7	5.0	My diet is mostly whatever I get to eat in the grotto commons. Sometimes, I eat outside	2	1.0	Started eating a lot of protein rich food that i didnt before.	2	5	2	2.0	5	2.0	5.0	United Nations	Indian	8	3.0	pizza, burger, pasta	1	5	4	5	7	A diet that is well balanced in most of the nutrients needed for the body.	Healthy balanced diet that tastes well.	3	2.0	5	5	6.0	2.0	Chicken, Rice, Vegetables	5.0	Banker	2	1.0	1	3	5.0	4.0	1.0	1.0	5	1165.0	690	Soccer	5	2	1315	185
120	3.500	1	1	610	4.0	420.0	2	wine. mac and cheese, pizza, ice cream	boredom and sadness	3.0	2	1.0	My diet consists mainly of coffee, water, fruits, vegetables, and chicken. I tend to stay away from bread and pasta as much as possible.	2	2.0	I have noticed there is less time for a prepared meal, so quick and easy has become the norm.	1	3	2	1.0	4	2.0	4.0	Accountant	Italian	1	1.0	Stromboli Mac and Cheese and Pizza	1	5	4	5	5	mainly protein and vegetables with a complex carb	My ideal diet would consist of a majority of what I consume now. I like to think I make pretty healthy choices currently, so it would most likely remain the same.	6	4.0	3	5	7.0	1.0	pasta, fish, steak	3.0	Radiological Technician	5	3.0	1	4	3.0	4.0	1.0	1.0	5	940.0	500	Softball	5	1	1315	156
121	3.000	1	1	265	2.0	315.0	2	Pizza / Wings / Cheesecake	Loneliness / Homesick / Sadness	3.0	3	6.0	A college student with an imbalanced diet trying to be healthy.	2	1.0	Eating Pizza as an excuse when there is nothing else to it.	1	3	4	3.0	3	2.0	5.0	Doctor	Mexican Food	2	1.0	Isombe , Plantains and Ugali	1	4	4	1	5	A healthy meal is a variety of food , organic food that gives you the nutrients such as protein , carbohydrates , fat , water , vitamins and minerals.	Eating home cooked meals everyday and being able to not eat processed foods at all.	5	2.0	5	5	7.0	1.0	Fried Rice \rBaked potatoes \rCurry Chicken	2.0	Public Health Advisor	3	1.0	3	4	1.0	4.0	1.0	NaN	4	940.0	500	basketball	5	2	1315	180
122	3.882	1	1	720	0.0	420.0	1	rice, potato, seaweed soup	sadness	3.0	3	6.0	Rice, oatmeal, and tea	2	1.0	less rice	1	3	3	3.0	5	2.0	5.0	CEO of company	Korean	4	1.0	Rice and potato	1	4	3	5	6	lots of vegetables	lots of veggies	2	2.0	5	3	10.0	1.0	meat, rice, kimchi	1.0	Real Estate manageer	3	1.0	2	4	5.0	4.0	1.0	2.0	5	580.0	690	none	4	2	1315	120
123	3.000	2	1	720	4.0	420.0	1	Mac n Cheese, Lasagna, Pizza	happiness, they are some of my favorite foods	3.0	7	1.0	I try to eat as healthy as possible everyday. I have fruit, yogurt and a protein shake everyday. The other foods i eat vary on a day to day basis.	1	2.0	I don't eat as much on a daily basis since coming to college.	1	8	5	2.0	2	1.0	3.0	Store manager at Giant Eagle	Italian	1	3.0	pizza and spaghetti	1	5	1	1	1	A protein, a fruit, a starch, and a salad or some sort of vegetable.	My ideal diet is the diet i am currently on. The only thing i would change is a little bit less snack/junk food.	6	4.0	1	5	1.0	1.0	Pizza, Spaghetti, Baked Ziti	2.0	Receptionist for a medical supply company	4	1.0	2	3	1.0	2.0	2.0	2.0	1	940.0	500	Unknow	3	1	1315	135
124	3.900	1	1	430	0.0	315.0	2	Chocolates, pizza, and Ritz.	hormones, Premenstrual syndrome.	NaN	5	3.0	high in protein and low in carbohydrates.	1	1.0	I have learned to eat more vegetables.	2	5	1	2.0	3	2.0	4.0	Journalist	HISPANIC CUISINE.	2	1.0	rice, beans, and chicken / pizza/ tenders	1	3	3	2	3	a cup of rice, vegetables, and meat.	Being able to balance between sweets, vegetables, fruits, carbohydrates, and fat.	3	5.0	2	3	5.0	2.0	Vegetables, Meat, and rice.	3.0	House-wife	5	1.0	3	3	2.0	3.0	1.0	2.0	2	725.0	345	Unknow	4	2	575	135

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